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We're live once again, helping police to get | :00:00. | :00:00. | |
The serial sex offender, terrifying women in their homes. | :00:00. | :00:13. | |
And he seemed to have got enjoyment that he'd seen me. | :00:14. | :00:19. | |
murdered on his way home from a night out. | :00:20. | :00:24. | |
New CCTV shows the last moments before he was attacked | :00:25. | :00:29. | |
And the paramedics under pressure, dealing with | :00:30. | :00:31. | |
If you have got time to have a beer, | :00:32. | :00:40. | |
you have got time to wait for a taxi. | :00:41. | :00:42. | |
And at the other end of the scale, ambulance crews could be called | :00:43. | :00:45. | |
I'll be finding out how medical teams train for all eventualities. | :00:46. | :00:49. | |
We're live and waiting for your calls. | :00:50. | :00:51. | |
Hello and welcome to Crimewatch Roadshow. | :00:52. | :01:19. | |
We're coming to you live each morning, highlighting everyday crime | :01:20. | :01:22. | |
A new appeal to find the man who raped a 15-year-old | :01:23. | :01:30. | |
After more than three decades, his victim bravely speaks out. | :01:31. | :01:40. | |
His last words were, "I have ruined your life now, haven't I?" | :01:41. | :01:43. | |
And the crafty scam, tricking people into selling their cars | :01:44. | :01:49. | |
Today the team have moved on to the National Ambulance | :01:50. | :01:57. | |
Rav, this is a really impressive place. | :01:58. | :02:04. | |
There are all kinds of scenarios behind me from X to Y. | :02:05. | :02:09. | |
Paramedics from across the UK come here to train for complex | :02:10. | :02:11. | |
Later, I'll be seeing how they cope with this - | :02:12. | :02:17. | |
a train full of chemicals that's crashed into a car | :02:18. | :02:19. | |
But first, to Dorset, where police want to trace the man | :02:20. | :02:28. | |
responsible for a series of terrifying crimes | :02:29. | :02:29. | |
Dorset is one of Britain's most treasured tourism destinations. The | :02:30. | :02:45. | |
county is renowned for its historic villages and picturesque beaches. | :02:46. | :02:52. | |
But police believe the area is also home to a serial sex offender. He | :02:53. | :02:59. | |
has escaped detection for the last five years. Officers are determined | :03:00. | :03:07. | |
to catch him. In the early hours of a summer morning, Sally had a | :03:08. | :03:14. | |
terrifying encounter with the man. I got up for work as morning -- as | :03:15. | :03:20. | |
normal at 5am. Went to the kitchen, had a cup of tea, sat down. And I | :03:21. | :03:31. | |
had the telly on. I live on my own so I had the telly on for company. | :03:32. | :03:36. | |
Outside the house the man was watching her. Initially I could just | :03:37. | :03:42. | |
see a movement from where I was sitting. I thought it was my friend | :03:43. | :03:54. | |
looking for a lift. I noticed a male walking by. Sally went to the | :03:55. | :04:00. | |
window. And to her horror, she saw the man was performing an indecent | :04:01. | :04:07. | |
act. His face was covered and he was staring straight at me. It was the | :04:08. | :04:12. | |
eyes. They were so frightening. He seemed to have got enjoyment that he | :04:13. | :04:16. | |
had seen me. I got the impression he was smiling. It was extremely | :04:17. | :04:22. | |
frightening. Sally called the police but the man was never traced. It is | :04:23. | :04:28. | |
believed the same man was responsible for dozens of similar | :04:29. | :04:33. | |
incidents in the Dorchester area. Two other victims have agreed to | :04:34. | :04:36. | |
speak out. Their words are spoken by actors. I was watching TV and heard | :04:37. | :04:44. | |
a knocking on the wall. I got up and looked out the window. And there was | :04:45. | :04:48. | |
a tap in a dark body. I could not his face. He was stood there. His | :04:49. | :04:59. | |
trousers were around his waist. When I went downstairs I heard the | :05:00. | :05:03. | |
tapping on the front door. As I opened the front door, that is when | :05:04. | :05:07. | |
he was there. His head was completely covered, so I couldn't | :05:08. | :05:13. | |
see his face at all. We have 29 reported incidents in | :05:14. | :05:17. | |
total. 16 of them share the same method. When he has committed these | :05:18. | :05:24. | |
offences, he has always had his head and face covered. Police say the man | :05:25. | :05:29. | |
often strikes in the early hours of the morning, carefully watching | :05:30. | :05:34. | |
homes before targeting lone women. At that time of the morning when it | :05:35. | :05:39. | |
was dark, he could see a downstairs light in our house. Apparently this | :05:40. | :05:42. | |
is what he was looking for, according to the police. The police | :05:43. | :05:47. | |
dog lead them to several windows, so they think he had been going around | :05:48. | :05:51. | |
looking in windows lit up looking for a long females. This serial sex | :05:52. | :05:56. | |
offender has left his victims feeling unsafe in their own homes. I | :05:57. | :06:01. | |
was very frightened to stay on my own. I considered moving. I felt | :06:02. | :06:11. | |
angry and violated. It is horrible to think this chap is still walking | :06:12. | :06:14. | |
around. He is still out there watching me. He clearly get some | :06:15. | :06:21. | |
sort of kick out of this. This man needs to be caught. He is just | :06:22. | :06:26. | |
frightening. So please, if there is anything, no matter how small, the | :06:27. | :06:29. | |
police are interested. Just give them a ring. | :06:30. | :06:31. | |
A lot of women have been scared and upset by these incidents? Yes. It is | :06:32. | :06:44. | |
terrifying for the victims and quite rightly so. The victims have been | :06:45. | :06:47. | |
left shaken and afraid in their own homes. Where and when did these | :06:48. | :06:56. | |
incidents take place can --? Yes. They happened between February 2012 | :06:57. | :07:01. | |
and November 20 16. We have had 29 offences reported in total. 16 of | :07:02. | :07:10. | |
them sharing identifying methods. 13 offences are considered as part of | :07:11. | :07:15. | |
the series. We can see a map. Can you talk us through the locations? | :07:16. | :07:20. | |
Yes, the Fordington area of Dorchester. There is an estate | :07:21. | :07:31. | |
there. There are nearby villages to Dorchester. Namely Charminster, | :07:32. | :07:35. | |
Charlton Downs and Puddletown. What do we know about the offender? He is | :07:36. | :07:42. | |
described as a white male, aged between 30s to 40s. He is about five | :07:43. | :07:48. | |
foot six to five foot nine tall. He is medium to stocky build. And he | :07:49. | :07:51. | |
has been wearing what is described as dark-coloured clothing. In | :07:52. | :07:58. | |
particular, a dark coloured hooded top. He always has his face covered | :07:59. | :08:06. | |
with a balaclava or a scarf, or a similar items. And you are appealing | :08:07. | :08:12. | |
for anybody with any information to contact us. If you can help, please | :08:13. | :08:15. | |
get in touch. The numbers are on the screen. | :08:16. | :08:16. | |
Next, do you recognise any of today's criminals caught on CCTV? | :08:17. | :08:20. | |
Be warned - these are pretty serious. | :08:21. | :08:26. | |
It is the early hours of the morning, but the party is still | :08:27. | :08:32. | |
going in this late bar. Keep your eyes on the man wearing the black | :08:33. | :08:38. | |
T-shirt with the distinctive white logo. Everybody else seems to be | :08:39. | :08:42. | |
having a good time. But out of nowhere, he smacks the bloke next to | :08:43. | :08:48. | |
him full force in the face. And lashes out at another partygoer with | :08:49. | :08:52. | |
a flurry of punches, only stopping when he is dragged away. The first | :08:53. | :08:58. | |
victim needed emergency surgery on a badly broken nose. Police need your | :08:59. | :09:09. | |
help to catch this folk. Who is he? It is the early hours of the morning | :09:10. | :09:14. | |
and although you can't see much at this trampoline Park in Derby, | :09:15. | :09:17. | |
things are about to get a lot clearer. The equipment goes up in | :09:18. | :09:28. | |
flames after the firestarter spreads accelerant everywhere. What he | :09:29. | :09:30. | |
wasn't counting on was setting himself alight. No one was injured | :09:31. | :09:37. | |
except the arsonist. But the fire caused extensive damage to the | :09:38. | :09:41. | |
equipment and the building. The image isn't clear, but if you know | :09:42. | :09:44. | |
who did this, then you know what to do. | :09:45. | :09:47. | |
If you can identify anyone, we need to hear from you now. | :09:48. | :09:49. | |
Text CW, space and then your message. | :09:50. | :09:56. | |
Texts will be charged at your standard message rate. | :09:57. | :09:58. | |
Or you can also speak to Crimestoppers anonymously. | :09:59. | :10:06. | |
Now, this may look like a really nasty road accident, | :10:07. | :10:16. | |
but it's actually an advanced training exercise for | :10:17. | :10:18. | |
In a minute, we'll see them in action as they recover the driver | :10:19. | :10:25. | |
But first, we spent a shift with a newly qualified paramedic | :10:26. | :10:29. | |
in Bristol to see what they come up against on a more typical day. | :10:30. | :10:41. | |
The South Western Ambulance service is one of the largest in the UK. | :10:42. | :10:48. | |
Dealing with up to 3000 999 calls every day. 25-year-old James Kiss is | :10:49. | :10:56. | |
getting ready for a 12 hour night shift in the centre of Bristol. I | :10:57. | :11:02. | |
have been working as a newly qualified paramedic since September | :11:03. | :11:07. | |
last year. I moved here from working in Devon. I wanted to get a feel for | :11:08. | :11:14. | |
a big city, possibly a faster paced environment. On an average shift, | :11:15. | :11:19. | |
James deals with around ten emergency calls and must be ready to | :11:20. | :11:25. | |
handle any situation. You can go to your first job in the morning and | :11:26. | :11:28. | |
that can be a cardiac arrest, or a patient has had a severe stroke. And | :11:29. | :11:33. | |
from that you can then go to somebody who is having a mental | :11:34. | :11:37. | |
health crisis. You really never, never know. There is a lady who has | :11:38. | :11:48. | |
fallen over. Her husband has phoned us. He is unable to get her off the | :11:49. | :11:56. | |
floor. We have come to see your wife, I believe? Go and have a chat. | :11:57. | :12:02. | |
We will get you up and we will get everything sorted. Silly old sod, | :12:03. | :12:13. | |
aren't I? Take a few breaths. Your blood pressure is dangerously low. | :12:14. | :12:17. | |
The woman is confused, so James called her daughter to find out her | :12:18. | :12:22. | |
medical history. Uber and trying to make a decision on what I think | :12:23. | :12:25. | |
needs to be done in terms of mum, because she has woken up on the | :12:26. | :12:33. | |
floor and can't remember anything. Concerned by her condition, James | :12:34. | :12:36. | |
decides to take into hospital for further checks. You have to do a bit | :12:37. | :12:43. | |
of detective work and try to make sure that you are truly | :12:44. | :12:47. | |
understanding the situation before you make a decision. You genuinely | :12:48. | :12:53. | |
are doing something different every day. It can be your life-threatening | :12:54. | :13:03. | |
emergencies one day and the next day it can be relatively mundane jobs. | :13:04. | :13:09. | |
Many of those jobs are links to alcohol. James' next job is one of | :13:10. | :13:13. | |
them. So somebody has been chased out of a property and thinks that | :13:14. | :13:16. | |
they have now broken their wrist. You don't know exactly how you have | :13:17. | :13:34. | |
injured your wrist? There is no history of anything hitting your | :13:35. | :13:39. | |
wrist at all? We will nip you up the road to get it x-rayed. You can't | :13:40. | :13:49. | |
have a beer, mate. If you have got time to have a beer, you have time | :13:50. | :13:56. | |
to wait for a taxi. Faced with a choice between a drink and a lift to | :13:57. | :14:02. | |
hospital, the man chooses beer. Paramedics spent many hours each | :14:03. | :14:06. | |
week dealing with unnecessary calls. And that extra pressure makes it | :14:07. | :14:10. | |
harder to respond to those in genuine need. We were potentially | :14:11. | :14:15. | |
going to be taking someone into hospital with a wrist injury. And we | :14:16. | :14:21. | |
were going to be able to respond to a cardiac arrest, which is what we | :14:22. | :14:26. | |
are responding to know. What we are going to know is a genuine medical | :14:27. | :14:32. | |
emergency. Whereas what we have just been to is actually a minor injury. | :14:33. | :14:36. | |
That is just not what we are here for. | :14:37. | :14:44. | |
Well, there's no time being wasted here today. | :14:45. | :14:45. | |
Parsyab Khan from Naru is here to tell me what's going on. | :14:46. | :14:59. | |
We have an equipment, policies and procedures department and a training | :15:00. | :15:07. | |
department. We train staff in different skill sets. We do training | :15:08. | :15:15. | |
of clinicians and non-clinician is. What are your team dealing with? A | :15:16. | :15:23. | |
vehicle has left the road and collided with scaffolding. In the | :15:24. | :15:30. | |
real scenario the fires service and other partners would be here to make | :15:31. | :15:35. | |
the area safe and then our staff would enter the vehicle and look to | :15:36. | :15:39. | |
stabilise the patient and get them out of the vehicle as soon as they | :15:40. | :15:45. | |
can. This is a mock-up. It is a difficult situation to work on | :15:46. | :15:50. | |
because of the confined space. Yes. Working in any vehicle can be | :15:51. | :15:54. | |
difficult. Here there is the risk of the scaffolding around them as well, | :15:55. | :15:59. | |
and broken glass, so they have to be spatially aware getting into the | :16:00. | :16:03. | |
vehicle. The idea is to get the medicine as they can. This could | :16:04. | :16:07. | |
mean the difference between someone surviving a major incident and not | :16:08. | :16:15. | |
making it. Yes. We make the training as realistic as possible with time | :16:16. | :16:21. | |
constraints. Then we can look back at it later to help the training. | :16:22. | :16:28. | |
Thankfully the passengers being rescued but it could take a lot | :16:29. | :16:33. | |
longer. Yes. The Fire Service that police would attend and make the | :16:34. | :16:39. | |
vehicle safe. Before the paramedics centre. Here you deal with a range | :16:40. | :16:49. | |
of disasters. Yes. The training is designed to train paramedics and | :16:50. | :16:52. | |
non-clinicians to be able to deal with large trauma, casualties, plane | :16:53. | :16:59. | |
crashes, train crashes, terrorist incidents. How to deal with those | :17:00. | :17:04. | |
for the patients. This is a job well done later we will be seeing one of | :17:05. | :17:08. | |
those challenging scenarios, a major train accident. | :17:09. | :17:11. | |
Should be interesting. Thanks Tina. | :17:12. | :17:13. | |
Can you help police catch the thug who assaulted a pensioner | :17:14. | :17:17. | |
I thought he was a vicious man to do this unprovoked attack like this. | :17:18. | :17:24. | |
He was saying all the time, you know, "I've got a knife - do | :17:25. | :17:27. | |
I never experienced a man so vicious as that before. | :17:28. | :17:33. | |
And just like fingerprints, our footprints are unique. | :17:34. | :17:38. | |
We'll find out how this shoe scanner is helping to trip up criminals. | :17:39. | :17:59. | |
On his way home from a night out with friends he was fatally wounded | :18:00. | :18:03. | |
in a seemingly random attack. The senior investigating officer is | :18:04. | :18:21. | |
here. What do we know about the night he was murdered? It was Friday | :18:22. | :18:25. | |
the 23rd of June and James had gone into Aldridge town centre with his | :18:26. | :18:30. | |
friends and into a couple of bars in anchor Road before making their way | :18:31. | :18:34. | |
to the High Street and at the point they came to Brittany Lane and and | :18:35. | :18:39. | |
his friends parted company. James was on the phone to his girlfriend | :18:40. | :18:42. | |
and headed down towards the High Street. We can look at a map. He | :18:43. | :18:54. | |
walked towards the end of the High Street when he reached the end he | :18:55. | :18:58. | |
walked around the park along the top of the Croft Park towards Little | :18:59. | :19:01. | |
Aston Road that that is where we believe he was attacked. We have | :19:02. | :19:06. | |
CCTV which you are releasing this morning. We have James at the top of | :19:07. | :19:12. | |
the image walk along the end of the High Street. He will disappear into | :19:13. | :19:17. | |
the darkness for about two minutes. During that time we believe he was | :19:18. | :19:22. | |
confronted by two nails, one of whom has stabbed him to the chest, | :19:23. | :19:27. | |
piercing his heart. He collapses in front of the shop. I understand some | :19:28. | :19:34. | |
passers-by tried to help him. Four lads who had been to a local club | :19:35. | :19:38. | |
tried to give first aid and they spoke to his girlfriend on the phone | :19:39. | :19:43. | |
and confirmed what happened to him. She phoned his parents turned up at | :19:44. | :19:50. | |
the same other paramedics were there and unfortunately he died in his | :19:51. | :19:56. | |
parents' arms. Are there any clues as to a possible motive? There's | :19:57. | :20:00. | |
nothing strikingly obvious as to why this has happened. We are looking at | :20:01. | :20:05. | |
all possible options. With any two period of time he has met his | :20:06. | :20:11. | |
attackers and received a fatal wound to his chest. We are looking for a | :20:12. | :20:16. | |
two males seen the Croft Park area and asking for members of the public | :20:17. | :20:21. | |
to call as if they have seen them between the hours of 11 and | :20:22. | :20:25. | |
quartered at night on that night. Two males, one darker skinned than | :20:26. | :20:36. | |
the other, mid teens to late 20s, running off. This is a close-knit | :20:37. | :20:40. | |
community. Is that the sort of thing that people may have spoken about? | :20:41. | :20:45. | |
Absolutely. Everybody knows everybody. We are appealing for | :20:46. | :20:53. | |
anybody to come forward. Thank you. Call or text as if you have seen | :20:54. | :21:02. | |
anything. The police and James' family need your help. This is | :21:03. | :21:12. | |
another training area and this is a mock-up of a train accident. A train | :21:13. | :21:20. | |
has hit a vehicle. The vehicle has got chemicals on board. They have | :21:21. | :21:24. | |
leaked out and we have people on the train who have been injured by the | :21:25. | :21:34. | |
Clash and the chemicals. It takes probably around five minutes to get | :21:35. | :21:39. | |
these suits on. Their visibility will be reduced while wearing grey | :21:40. | :21:45. | |
suits. These are chemical protective suits. It is quite a tight zip. Have | :21:46. | :21:58. | |
a go. It is difficult. It is gas tight so it needs to be stiff. If | :21:59. | :22:05. | |
you can just put over the Velcro and he can be checked before he goes on | :22:06. | :22:11. | |
the train. That is the final stage. We have various stages of dress. | :22:12. | :22:16. | |
Where chemicals are involved how does that involve what the | :22:17. | :22:19. | |
paramedics will be trying to do? The priority is going to be together | :22:20. | :22:23. | |
patient out of the chemical call environment so they will do what | :22:24. | :22:27. | |
they need in life saving intervention, stop bleeding, help | :22:28. | :22:32. | |
breathing. Get the patient out as an as they can. How will they be | :22:33. | :22:36. | |
filling as they are about to go and if this was a real emergency | :22:37. | :22:40. | |
situation? Paramedics are always focused and committed to doing the | :22:41. | :22:44. | |
best for their patients no matter what the scenario. The staff have | :22:45. | :22:47. | |
the added issues of the hazard of the chemical on the train and trying | :22:48. | :22:52. | |
to do their day job while wearing protective equipment. Thank you. We | :22:53. | :22:58. | |
will be going on the train with the paramedics as they rescue the | :22:59. | :22:59. | |
casualties on board. Next, to the West Midlands | :23:00. | :23:03. | |
and a particularly frightening Birmingham in the 1970s. A city with | :23:04. | :23:17. | |
a thriving Irish community. I lived 46 years here in Birmingham and I | :23:18. | :23:28. | |
first started on the buses in 1971. Bernard Boyle moved to Birmingham | :23:29. | :23:32. | |
from his native Northern Ireland, making a new life for himself in the | :23:33. | :23:38. | |
city's spark Hill area. He calls these streets his home. If the | :23:39. | :23:43. | |
neighbours find anything wrong they will come to your aid. The | :23:44. | :23:48. | |
71-year-old lives alone and a few months ago he needed his neighbours' | :23:49. | :23:55. | |
help like never before. It was a cold February night. Bernard had | :23:56. | :23:58. | |
left something in his castle ventured out to get it. I forgot a | :23:59. | :24:09. | |
paper in the car. The car was parked. I got the paper and I was | :24:10. | :24:17. | |
coming in again. Got on CCTV, a man was lacking in the street. As | :24:18. | :24:25. | |
Bernard walked back towards his house, the man made his move. I did | :24:26. | :24:30. | |
not see nobody at all and rent. I was amazed at how he got so close up | :24:31. | :24:36. | |
to me. The attacker pushed Bernard back into his house and demanded | :24:37. | :24:46. | |
money. He said, get in there. A lot of blows to the head. The punches | :24:47. | :24:50. | |
kept coming. The attacker knocked the terrified Bernard to the ground. | :24:51. | :24:57. | |
He was saying, where is the money? You know I have got a knife. You | :24:58. | :25:03. | |
think I wouldn't use it? Bernard tried desperately to send him off as | :25:04. | :25:08. | |
the man rifled through his pockets. Bernard cried out for help. My | :25:09. | :25:13. | |
neighbour next door heard me. Realising he was about to be rumbled | :25:14. | :25:16. | |
the man through one last punch and ran off empty-handed leaving an | :25:17. | :25:23. | |
injured Bernard on the floor. I had a swollen face. My head was so for a | :25:24. | :25:31. | |
couple of days afterwards. Thankfully it came all right again. | :25:32. | :25:37. | |
My neighbour was of great benefit to me. If it was not for my neighbour | :25:38. | :25:41. | |
do not know what would be his next step. He done me a good time. We | :25:42. | :25:50. | |
believe this to be an opportunistic crime. We believe the offender was | :25:51. | :25:54. | |
probably passing and spotted the victim entering his home and has | :25:55. | :25:57. | |
taken a chance. It must been very frightening for the victim who is | :25:58. | :26:03. | |
71, to have been approached on his own doorstep, pushed into his home | :26:04. | :26:07. | |
and assaulted. Although shaken Bernard is determined not to let the | :26:08. | :26:12. | |
incident affect him. He was a vicious man to do this unprovoked | :26:13. | :26:20. | |
attack like this. I never experienced a man so vicious that | :26:21. | :26:25. | |
before. It was a scary experience. It really shook me up for a bit. I | :26:26. | :26:33. | |
lost confidence. As time goes on, I will get better again. | :26:34. | :26:39. | |
Well, police really want to trace the man responsible | :26:40. | :26:41. | |
They believe he could live in the Sparkhill area of Birmingham, | :26:42. | :26:47. | |
and he's described as a six foot tall Asian man with a rounded | :26:48. | :26:50. | |
If you recognise him, you know what to do. | :26:51. | :26:57. | |
We understand the phones are not working properly at the moment so | :26:58. | :27:02. | |
please text or email us and we will let you know when they are backed up | :27:03. | :27:04. | |
and running. Some more people the police | :27:05. | :27:06. | |
would like to catch up with now, starting with Anthony Hughes - | :27:07. | :27:08. | |
although you may know him He was jailed for five years in 2015 | :27:09. | :27:11. | |
for blackmail and kidnap, and released on licence, but has | :27:12. | :27:15. | |
failed to stick to his conditions Hughes has a Liverpudlian accent | :27:16. | :27:18. | |
and links to Cheshire. He has the tattoos of the words Mum | :27:19. | :27:25. | |
and Dad on both hands, and a large prayer sign | :27:26. | :27:28. | |
which covers his whole back. This is Matthew Gane, | :27:29. | :27:30. | |
although he also Detectives investigating | :27:31. | :27:32. | |
an attack on a man and woman in their home in Nuneaton think | :27:33. | :27:35. | |
he may have vital information Gane is 36 and has links to Bedworth | :27:36. | :27:38. | |
in Warwickshire and to Coventry. Next is Jean-Marc Mondelet, | :27:39. | :27:45. | |
although you may The Frenchman is wanted | :27:46. | :27:47. | |
for questioning in connection to a card fraud in which the victim | :27:48. | :27:53. | |
lost half a million pounds. Modelet is 25 and now has | :27:54. | :27:56. | |
links to the Lambeth, Westminster and Southwark | :27:57. | :27:59. | |
areas of London. Finally, this is Inis Mesgena, | :28:00. | :28:07. | |
although he also calls The 32-year-old was charged | :28:08. | :28:09. | |
regarding a glassing incident at a party | :28:10. | :28:12. | |
in Ladbroke Grove in London. He was due to appear in court, | :28:13. | :28:14. | |
but has failed to turn up. Originally from Ethiopia, he now has | :28:15. | :28:17. | |
links to East and West London If you know where any of these faces | :28:18. | :28:20. | |
are make sure you get in touch Now a really sneaky scam to get | :28:21. | :28:24. | |
people to sell their cars PC Steve Boston from | :28:25. | :28:34. | |
Dorset Police joins me. You are investigating a number of | :28:35. | :28:46. | |
incidents where criminals pose as typical car buyers than try to trick | :28:47. | :28:50. | |
the honours into selling them on the trip, cheap. You have CCTV. In this | :28:51. | :29:00. | |
video you can see three males who have contacted the buyer. The buyer | :29:01. | :29:07. | |
advertises on gumtree or eBay. A viewing is arranged. It is usually | :29:08. | :29:11. | |
three males who will appear. While they are viewing the car they | :29:12. | :29:15. | |
distract the order and poor ink into the cooler bottle to appeal that | :29:16. | :29:21. | |
water has leaked and another time they have put an oil filled right | :29:22. | :29:26. | |
into the exhaust pipe so the vehicle produces smoke making it look like a | :29:27. | :29:33. | |
major fault. So sneaky. Yes. Once they make it look like it is a major | :29:34. | :29:37. | |
fault they offer a greatly reduced price for the car and of the scam is | :29:38. | :29:43. | |
successful they Caraway, remove the Reich, the ink that is true that is | :29:44. | :29:46. | |
true and be polite -- sell it for a higher value. | :29:47. | :29:51. | |
We don't believe this is the only gang operating this scam. We are | :29:52. | :29:57. | |
particularly after the identity of these three meals. -- males. We can | :29:58. | :30:06. | |
take another look at them. What do we know about them? They have a | :30:07. | :30:12. | |
London accents. I was contacted by another victim from Ferndale in | :30:13. | :30:16. | |
Dorset last week. He had these three males turned up, and he recognised | :30:17. | :30:24. | |
their faces from an appeal we did. Get in touch if you know who these | :30:25. | :30:28. | |
men are. Definitely a scam to watch out for. | :30:29. | :30:30. | |
Now a harrowing appeal to solve a crime which happened more | :30:31. | :30:33. | |
Dawn Clark was still a schoolgirl when she was attacked | :30:34. | :30:37. | |
as she made her way home from a friend's house. | :30:38. | :30:40. | |
She's bravely agreed waive her right to anonymity, | :30:41. | :30:41. | |
hoping telling her story will help catch the man responsible. | :30:42. | :30:51. | |
I enjoyed my life. I loved everything that I was doing. And I | :30:52. | :31:04. | |
was happy. Just everything stopped. He ruined my life. 35 years ago, | :31:05. | :31:14. | |
Dawn Clark was enjoying life as a teenager. But one evening in May | :31:15. | :31:24. | |
1982, the 15-year-old was stopped by a stranger on her way home from a | :31:25. | :31:29. | |
friend's has. As I was walking towards the main road, a man was | :31:30. | :31:34. | |
approaching me. He was dressed to go out. Excuse me, do you know when the | :31:35. | :31:42. | |
next us is? I didn't fear for my life when he was walking towards me. | :31:43. | :31:47. | |
He asked me a simple question about the yellow bus and what time it | :31:48. | :31:53. | |
would come. So I said, normally half past nine. About 9:30am. You are | :31:54. | :31:59. | |
welcome. And I carried on walking. He walked past me. Before I knew it | :32:00. | :32:09. | |
he had his arm around my neck and had a knife in his hand. And that is | :32:10. | :32:16. | |
when he told me if I wanted to live I had to do what he said. I was so | :32:17. | :32:30. | |
scared. You just think, oh my God, I'm going to die, I'm going to die. | :32:31. | :32:35. | |
The man held a knife to Dawn's throat, took her into a wooded area | :32:36. | :32:36. | |
and raped her. After the attack he issued a | :32:37. | :32:53. | |
chilling threat. He said, I'm going to let you go but if you do tell | :32:54. | :32:59. | |
anyone or do mention what has happened, I will come and kill you. | :33:00. | :33:03. | |
I know where you live, I will come and get you. His last words to me | :33:04. | :33:10. | |
work, I have ruined my life, haven't I? -- your life. I said, yes, you | :33:11. | :33:17. | |
have. Police never traced the attacker. More than three decades | :33:18. | :33:28. | |
have now passed. And Dawn has struggled to get over her ordeal. I | :33:29. | :33:33. | |
have got wonderful children, wonderful grandchildren. But nothing | :33:34. | :33:41. | |
can replace that hole that I have got from when I was a young child. I | :33:42. | :33:53. | |
didn't go back to school. So I never really had any contact with my best | :33:54. | :33:58. | |
friends. I felt like I was a prisoner, really. My parents were | :33:59. | :34:02. | |
doing the best they could to protect me. I kept thinking he was going to | :34:03. | :34:11. | |
come back and get me. Until I know he is either dead or caught, I will | :34:12. | :34:15. | |
never, ever be able to move on. And I will never feel safe. It still | :34:16. | :34:20. | |
affects me. It will just never go away. It will never go away. | :34:21. | :34:24. | |
Just heartbreaking and that attack is still having a impact | :34:25. | :34:27. | |
I'm joined by Detective Inspector Neil Phillips, | :34:28. | :34:32. | |
from Dorset Police's Major Crime Investigation Team. | :34:33. | :34:35. | |
Neil, it's now 35 years since this happened, | :34:36. | :34:38. | |
but you're still very determined to find this man. | :34:39. | :34:44. | |
Yes. We have been working with Dawn Fidler many years to try and solve | :34:45. | :34:49. | |
this case and find the person responsible and we will never give | :34:50. | :34:53. | |
up. What do we know about her attacker? In 1982, Don described her | :34:54. | :35:01. | |
attacker as a white male aged 25 to 30. He was about five tall. | :35:02. | :35:06. | |
Described as medium build. He had fair, straight hair parted to the | :35:07. | :35:10. | |
right. He had a blonde bristly beard and described as a very thin | :35:11. | :35:15. | |
moustache. He had gold rimmed glasses which were square in shape. | :35:16. | :35:19. | |
He wore a brown and her black jacket which had a turned down collar, dark | :35:20. | :35:26. | |
trousers and dark shoes. Told gust through where this attack happened? | :35:27. | :35:32. | |
Dawn had been walking home with a friend towards her home address | :35:33. | :35:38. | |
through a common area. As she walked through that area, a man and walks | :35:39. | :35:41. | |
towards her and asked her about times of bosses. Dawn had tried to | :35:42. | :35:46. | |
be helpful but the man pulled a knife on her and took further into a | :35:47. | :35:50. | |
wooded area where he assaulted her. This man would be a pensioner now. | :35:51. | :35:54. | |
What information are you appealing to the public for? Yes, this man | :35:55. | :36:01. | |
would be about 6570. We do have a full DNA profile of him. We can | :36:02. | :36:08. | |
easily identify it. Someone may know or suspect who he is. Please put | :36:09. | :36:13. | |
forward a naming confidence because we can easily eliminate anyone not | :36:14. | :36:17. | |
responsible. Just give us another reminder of who you are looking for | :36:18. | :36:25. | |
a? A white male, aged 25 to 30, five and of medium build. If you have any | :36:26. | :36:30. | |
information, our phone lines are down but you can still e-mail. If | :36:31. | :36:37. | |
you are a victim of any crime, you can call Victim Support. | :36:38. | :36:38. | |
For more than a century, police have detected crimes based | :36:39. | :36:41. | |
But what you may not realise is that shoe prints are just as unique. | :36:42. | :36:47. | |
Now, a very clever device is using that information to link | :36:48. | :36:50. | |
Temporary Detective Chief Inspector Julie Henderson | :36:51. | :36:54. | |
from the Metropolitan Police is here to tell us more. | :36:55. | :36:56. | |
And you've brought along your invention, | :36:57. | :36:58. | |
Before we see how it works, tell me, why did | :36:59. | :37:05. | |
It really came about because we use that systems for fingerprints and I | :37:06. | :37:16. | |
thought, surely we should be able to use this for footwear as well? -- | :37:17. | :37:23. | |
digital systems. In the old days you would have to take an ink print onto | :37:24. | :37:27. | |
paper of someone's shoe if they were in custody. You would have to post | :37:28. | :37:30. | |
that and it would take several days for that to come back by which time | :37:31. | :37:33. | |
the offender could be back home on bail? That is right. It was a very | :37:34. | :37:39. | |
archaic method. Often the shoes are gone before we have intelligence. | :37:40. | :37:44. | |
How did you go about designing this? I found one scanner in the | :37:45. | :37:48. | |
marketplace, the only one that does this type of work. I got a scanner | :37:49. | :37:53. | |
given to me for free to run a trial. It wasn't what you see here today. | :37:54. | :37:58. | |
It was a small prototype. I needed to get a standard built to meet | :37:59. | :38:02. | |
health and safety requirements. How did you get it built? I asked a | :38:03. | :38:06. | |
local police officer who was also quite handy, to build me a stand. | :38:07. | :38:12. | |
Which he did! You are going to let me have a go. What do I need to do? | :38:13. | :38:17. | |
Stand on the scanner with your feet on the stickers and walk straight | :38:18. | :38:25. | |
across. And I will do the other foot. Straight over. As simple as | :38:26. | :38:33. | |
that. OK, so we have got on the screen, your computer. Have you got | :38:34. | :38:38. | |
my images straightaway? Yes. What would you do with that information? | :38:39. | :38:44. | |
As soon as I click save, anybody anywhere in the country can see this | :38:45. | :38:50. | |
information. It can be used by any investigator or forensic scientist. | :38:51. | :38:54. | |
You that off search against database. How long would that take? | :38:55. | :39:00. | |
I have done it behind you! Your shoes are not on the data list. I am | :39:01. | :39:06. | |
very glad to hear that. How many have you got on at the moment? About | :39:07. | :39:12. | |
45,000 different types of patterns. It is growing all the time. That | :39:13. | :39:18. | |
result will come back in seconds. You are trialling it at the moment? | :39:19. | :39:25. | |
Yes, we have gone live in Colindale Police Station, Heathrow and | :39:26. | :39:27. | |
Hounslow next week. You have a lovely success story. What happened? | :39:28. | :39:34. | |
Yes, a vulnerable victim assaulted and robbed in his own home. Three | :39:35. | :39:38. | |
suspects. The footwear was able to place each one in each room. It was | :39:39. | :39:44. | |
compelling evidence. Absolutely fantastic. It is a brilliant system. | :39:45. | :39:49. | |
Thank you for joining us. Let's hope it trips up lots more suspect in | :39:50. | :39:53. | |
future. Rav, we're back at Naru, the | :39:54. | :39:53. | |
National Ambulance Resilience Unit. This train full of chemicals | :39:54. | :39:56. | |
has just hit a car. The chemicals have leaked, | :39:57. | :39:58. | |
and there are injured Parsyab Khan from | :39:59. | :40:00. | |
Naru is here again. When the paramedics are first coming | :40:01. | :40:14. | |
in, what do they do? Because the seats are quite intimidating, they | :40:15. | :40:20. | |
will call out ambulance service. So the patients are aware of who is | :40:21. | :40:24. | |
coming in. When they have called out, they look at each individual | :40:25. | :40:28. | |
patient, to see if they are breathing, to see if there is | :40:29. | :40:32. | |
bleeding. Once they know what that is, they can start to prioritise the | :40:33. | :40:37. | |
patients. How dangerous is this situation? Can be quite dangerous. | :40:38. | :40:43. | |
Working in any traffic accident, there is the risk of jagged edges. | :40:44. | :40:48. | |
In this scenario because there are chemicals involved, there is more of | :40:49. | :40:51. | |
a risk because they could be exposed to them. They have to be extra | :40:52. | :40:58. | |
aware. Also the heat. Yes, it gets very hot in the suit. It can be | :40:59. | :41:03. | |
difficult on a day like this. What are they doing at the moment? The | :41:04. | :41:08. | |
moment, this patient husband bleeding as a result of the | :41:09. | :41:12. | |
accident. Because they have been exposed to the chemicals, they are | :41:13. | :41:16. | |
having difficulty breathing. They will aim to stem the breathing by | :41:17. | :41:21. | |
applying a tourniquet bandage, and administer oxygen to help with the | :41:22. | :41:24. | |
breathing. They will get them off the train as soon as they can. | :41:25. | :41:30. | |
Another casualty has been stretchered off the train. Time is | :41:31. | :41:35. | |
really critical. If this was a real emergency... Absolutely. Time is | :41:36. | :41:42. | |
always important. When you add chemicals, what all responders aim | :41:43. | :41:47. | |
to do is get them away from the hazard. The sooner they can get them | :41:48. | :41:49. | |
into fresh air, they can start treating them and carry out more | :41:50. | :41:53. | |
detailed observations. The important thing is altered to get them out of | :41:54. | :41:57. | |
their clothes if their clothes have been contaminated. Do the important | :41:58. | :42:04. | |
life-saving interventions, get them out of any contaminated clothing and | :42:05. | :42:09. | |
rapid transfer to hospital. From here? From here, yes. Depending on | :42:10. | :42:12. | |
whether they have been contaminated or not. Another successful rescue | :42:13. | :42:22. | |
thanks to these paramedics. I understand the phone lines are | :42:23. | :42:24. | |
working again. So please do get in touch. You may remember unwanted | :42:25. | :42:36. | |
face Julie Rowson. Officers say you have given them lots of information | :42:37. | :42:40. | |
about where she may be and they are currently following strong leads. | :42:41. | :42:43. | |
Thank you for getting in touch with all of our cases. | :42:44. | :42:45. | |
Tina, where are you going to be tomorrow? | :42:46. | :42:47. | |
Rav, I'll be in Bristol, going out on the water with Avon | :42:48. | :42:49. | |
and Somerset Police's underwater search team. | :42:50. | :42:52. | |
And in a city famous for its highly prized graffitti art we'll be seeing | :42:53. | :42:55. | |
the fight back against the not so creative tagging, | :42:56. | :42:59. | |
in other words vandalism, which is defacing many of Bristol's | :43:00. | :43:01. | |
I'd better dig out my scrubbing brush. | :43:02. | :43:06. | |
For more details about the crimes on today's | :43:07. | :43:12. | |
Before we go, here's another look at this | :43:13. | :43:15. | |
If any of them look familiar, pick up the phone and tell | :43:16. | :43:19. | |
We'll be back tomorrow morning, after Breakfast. | :43:20. | :43:23. |