:00:00. > :00:15.We're on the road once more, helping the police crack down on crime.
:00:16. > :00:17.The Christmas party which ended in tragedy for a young mum.
:00:18. > :00:20.I don't know how you could leave a person
:00:21. > :00:22.for dead and I think they have got no heart.
:00:23. > :00:27.The good Samaritan who saved a stranger
:00:28. > :00:30.She looked at me and it was as if she was crying
:00:31. > :00:40.And I'm at the final resting place of Richard III.
:00:41. > :00:43.Discovered buried under a nearby carpark 500 years after his death.
:00:44. > :00:47.His identity was confirmed by brilliant local scientists
:00:48. > :00:49.who are now using similar DNA techniques to solve crime.
:00:50. > :01:18.Hello and welcome to Crimewatch Roadshow.
:01:19. > :01:21.As always, we need your help to solve the crimes
:01:22. > :01:35.The scammers charging thousands for untrained assistance dogs.
:01:36. > :01:40.And how your calls helped police catch a ruthless robber
:01:41. > :01:50.Following the appeal we had an excellent response.
:01:51. > :02:01.Rav, I'm in front of Leicester Cathedral.
:02:02. > :02:06.Two years ago, crowds gathered here to lay the body
:02:07. > :02:10.of King Richard III to rest inside this historic building.
:02:11. > :02:15.But the city is also the birthplace of modern DNA techniques.
:02:16. > :02:18.These days all sorts of clues can be unlocked from someone's DNA and I'm
:02:19. > :02:21.quite nervous because I'll be finding out later what
:02:22. > :02:25.Thanks, Michelle, could be interesting.
:02:26. > :02:27.First, though, police in Leicestershire need your
:02:28. > :02:30.help to trace the driver whose actions tore a young family
:02:31. > :02:49.26 sexual ceilidh is a single mum. She lives with her five-year-old son
:02:50. > :02:57.on a small village in the outskirts of Leicester. It is hard being a
:02:58. > :03:11.single mum. I have lots of support, I see my friends a lot. I met her in
:03:12. > :03:16.college and ever since then we have been close. A week before Christmas
:03:17. > :03:21.last year Letitia decided to throw a house party for some friends. I was
:03:22. > :03:29.looking forward to letting my hair down a bit, distress. Everyone was
:03:30. > :03:36.having a good time, talking, drinking, dancing. Me and Kayley
:03:37. > :03:42.ended up going upstairs in my bedroom and we were chilling and
:03:43. > :03:49.there. In the early hours of the morning party guests heard banging
:03:50. > :03:52.on the front door. Out in the street witnesses reported an argument
:03:53. > :04:03.involving the driver of the white Volkswagen. That was it after that.
:04:04. > :04:09.That died down. By 3:30am Kayley was ready to go warm and called for a
:04:10. > :04:20.taxi. I was inside while Kayley went out to look for the taxi. As a car
:04:21. > :04:26.approached Kayley assumed it was hard taxi. It was not. The car drove
:04:27. > :04:32.at Kayley, mounted the pavement and hit her hard. Kayley was dragged
:04:33. > :04:40.along underneath, then without stopping the car sped away. I have
:04:41. > :04:54.gone outside and I looked and Kayley was on the floor. I thought she was
:04:55. > :04:59.dead. I did not know what to do. Letitia called for an ambulance.
:05:00. > :05:04.When the paramedics arrived Kayley was rushed to hospital. I felt
:05:05. > :05:08.guilty because of it was me I can accept it because it is outside my
:05:09. > :05:15.house because it was my friend I cannot accept that. Kayley's
:05:16. > :05:22.injuries were terrific, broken ribs, multiple fractures to her like an
:05:23. > :05:26.pelvis and she was in a coma. We went Christmas Day and we were
:05:27. > :05:32.playing her video recordings on my phone and telling her to wake up. We
:05:33. > :05:37.were asking the nurses and they were saying that it could be for ages so
:05:38. > :05:46.we did not think she would have work up. Then they rang me Boxing Day and
:05:47. > :05:53.said that she woke up. I looked a mess. I had to observe throughout. A
:05:54. > :05:59.doctor came up to me and said I was an unexpected survival. It hit me
:06:00. > :06:05.that I was so close to death. Her son spent Christmas without his mum.
:06:06. > :06:09.They said that she was really properly. I did not see him over the
:06:10. > :06:19.Christmas period. I was in too much pain. Finally Kayley and look were
:06:20. > :06:24.reunited. I cried. It fill this hole that I needed. You want to be a
:06:25. > :06:30.mother, you want to be there. For Kayley the last six months have been
:06:31. > :06:35.a long road to recovery. I cannot do much, I cannot walk to the park, I
:06:36. > :06:39.struggle taking him to school. I cannot get on the floor and play
:06:40. > :06:44.with him because I cannot bend down. He has to help me a lot with
:06:45. > :06:51.cleaning up and stuff, his toys. He has been a really good boy. The
:06:52. > :06:57.police investigation is ongoing and they are urging anyone with
:06:58. > :07:04.information to contact them. The car is critical to this inquiry. It was
:07:05. > :07:10.used as a deadly weapon. Very nearly it was successful in causing death.
:07:11. > :07:16.To the people in that car, come forward, tell us what happened, have
:07:17. > :07:24.a conscience and think this was someone's mother, sister and
:07:25. > :07:29.daughter. I do not know how you could leave a person for dead. I
:07:30. > :07:37.think they have got no heart, no conscience, really. The DCI is with
:07:38. > :07:39.me. This was very traumatic
:07:40. > :07:50.for Kayley, wasn't it, Kayley was hit with great force and
:07:51. > :07:54.dragged under the vehicle and it cost serious injuries. Courageously
:07:55. > :07:55.she is fighting back and making a recovery. This could have been
:07:56. > :07:58.fatal. So, remind us what we know
:07:59. > :08:01.about the events that night. It was the early hours
:08:02. > :08:04.of Sat 17th December, around 3.30am on Brackenfield Way,
:08:05. > :08:14.Thurmaston, Leicestershire. The party had taken place in a quiet
:08:15. > :08:19.neighbourhood and people were leaving the party and we believe a
:08:20. > :08:22.dispute had taken place in the house and on the pavement outside
:08:23. > :08:29.involving people at the party and the occupants of the white vehicle.
:08:30. > :08:38.The car is critical to the inquiry. What do we know about it? It had
:08:39. > :08:43.been rented the week before and we believe a number of people may have
:08:44. > :08:48.had access to that vehicle. We have to establish who had the vehicle on
:08:49. > :08:53.that night and who the driver was. It is a quiet neighbourhood. Do you
:08:54. > :08:56.think there were any witnesses? I'm fully some of the neighbours
:08:57. > :09:01.witnessed the incident and rang the police immediately so we were there
:09:02. > :09:05.quickly. It was very dark, the middle of the night in winter. We
:09:06. > :09:09.the people who were at the party to come forward and tell us what
:09:10. > :09:14.happened and who the driver of the vehicle was because Kayley is
:09:15. > :09:19.somebody's mother, sister and daughter and if they thought about
:09:20. > :09:25.their family and as their conscience what they should do, come forward.
:09:26. > :09:30.Yes, if you can help, please do get in touch.
:09:31. > :09:37.Next, do you recognise any of today's criminals caught on CCTV?
:09:38. > :09:44.Look carefully at the top left of your screen. Lingering in the road
:09:45. > :09:53.in Peckham. What are they waiting for? Another camera reveals all. The
:09:54. > :09:58.robber walks across the road and then strikes, rugby tackling a
:09:59. > :10:03.security guard as he leaves a post office with the takings. They ride
:10:04. > :10:07.off at speed with the cash box leaving the security guard lying in
:10:08. > :10:13.the road. They got away with over three grand in cash and the stolen
:10:14. > :10:17.bike was later found abandoned. They may have covered their faces but
:10:18. > :10:28.someone knows who these and bikers are. It is broad daylight and these
:10:29. > :10:32.two corrupted or good. This is not their fan but they have spotted
:10:33. > :10:39.something they like. What they have not spotted of the camera. They
:10:40. > :10:44.break and shift box after box of expensive power tools. Satisfied
:10:45. > :10:50.with their look to be leaving a black Audi having nabbed up to 18
:10:51. > :10:59.grand's worth of kit. If you recognise the car or either of the
:11:00. > :11:03.main collars. It is the middle of the day in this quiet part of
:11:04. > :11:08.Swindon but someone is up to no good. This man decides he fancies
:11:09. > :11:13.having a go at stealing a trailer that has been securely locked up but
:11:14. > :11:17.how is he going to do it? Luckily for him has made over the gate and
:11:18. > :11:23.seven a bag full of tricks and he gets to work. What he does not know
:11:24. > :11:26.is that just out of sight of the camera the owner has spotted the
:11:27. > :11:31.intruder in his backyard and still fully made his way down to the
:11:32. > :11:39.trailer ready with his camera phone. Once in position he asks the man,
:11:40. > :11:44.can I help you? Snap. The thief looks up and realises it is over and
:11:45. > :11:49.he has been parked. He makes a run for it leaving behind his gear. It
:11:50. > :11:55.is a great photo. If you recognise this, give us a call.
:11:56. > :11:57.If you know the names of anyone you've just
:11:58. > :12:04.Text CW, space and then your message.
:12:05. > :12:06.Texts will be charged at your standard message rate.
:12:07. > :12:19.We're right in the middle of Leicester city centre today,
:12:20. > :12:22.and this might be the last place you'd expect us to be
:12:23. > :12:26.But surprisingly, the Cathedral has become home for some creatures
:12:27. > :12:27.which are often victims of crime themselves.
:12:28. > :12:31.Birds of prey are subjected to hundreds of crimes against them
:12:32. > :12:33.each year, from poisoning and shooting to having
:12:34. > :12:40.But two of them have found a safe haven here.
:12:41. > :12:58.magnificent pelican Falcons, the fastest creatures on earth. They
:12:59. > :13:02.were reserved for high status individuals in medieval times and
:13:03. > :13:07.falconry is still prized today here and in the Middle East. How is such
:13:08. > :13:14.an amazing kick .my creature ended up on the cathedral? They think it
:13:15. > :13:22.is a cliff. Lots of pigeons. A wonderful year. It is replicating
:13:23. > :13:31.their natural habitat. Yes. The number of pigeons being fed, they
:13:32. > :13:36.are in clover. What about breeding? They are trying to. We have had two
:13:37. > :13:42.Brits but they have been unsuccessful. We are not sure why.
:13:43. > :13:47.The eggs do not seem as strong as usual. We are working with the
:13:48. > :13:51.University and DNA fingerprinting using the same techniques pioneered
:13:52. > :13:54.by Professor Jeffries to work out why they have failed. I hope it
:13:55. > :14:02.works out. It seems the perfect environment for
:14:03. > :14:08.these creatures. But until relatively recently
:14:09. > :14:20.Richard III's surroundings It was the discovery that made
:14:21. > :14:24.headlines around the world. Five years ago a skeleton was found
:14:25. > :14:28.buried under the council car park in Leicester. It was believed to be
:14:29. > :14:34.that of King Richard III, famously killed in battle. Experts here at
:14:35. > :14:42.the University of Leicester were called upon to unravel this ancient
:14:43. > :14:46.murder mystery. I was asked to look at the Skull and it arrived in the
:14:47. > :14:51.lab with various tool marks on it and what we were interested in was
:14:52. > :14:56.working out what tools had been used to create those injuries. This large
:14:57. > :15:01.injury to the right-hand side of the base of the skull was likely to have
:15:02. > :15:08.been caused by a substantial weapon, so we think this was caused by an
:15:09. > :15:13.axe on the blade and would have been capable of doing this. Some of the
:15:14. > :15:17.injuries penetrated to considerable depth, so they went through the base
:15:18. > :15:22.of the skull and the brain and onto the inside of the skull. That had to
:15:23. > :15:28.be a weapon that was long and thin and it was likely to be a short
:15:29. > :15:32.sword or a long dagger. But what we found from all the injuries that we
:15:33. > :15:36.saw is they were consistent with the stories we heard about the Battle
:15:37. > :15:40.and consistent with him having been pulled off his horse and those final
:15:41. > :15:46.injuries being inflicted while he was on the ground. The physical
:15:47. > :15:50.injuries seemed to match what was known about the way the monarch had
:15:51. > :15:58.died. But to confirm it was indeed Richard III, they were able to link
:15:59. > :16:05.DNA taken from the skeleton to 21st-century relatives on Richard's
:16:06. > :16:09.mother's side. He had no known descendants, but we do know he has a
:16:10. > :16:13.female line of relatives who are alive today. We took their DNA to
:16:14. > :16:19.see if it matched that of the skeleton. The DNA taken from the
:16:20. > :16:24.skeleton and the relative alive today was practically a perfect
:16:25. > :16:29.match. The identity of the long lost King was confirmed, but what else
:16:30. > :16:35.could his DNA tell us about him? I have been looking at his entire
:16:36. > :16:38.genomics. Because there are no contemporary portraits, they all
:16:39. > :16:45.postdate his death by about 30 years, but looking at the Jinan you
:16:46. > :16:51.can say what their eye colour is. We know he had a 96% chance of having
:16:52. > :16:57.blue eyes and a 76% chance of having blond hair. But that could change
:16:58. > :17:02.with age. But you can apply this to crime scenes and these are
:17:03. > :17:04.externally visible characteristics. Even without seeing the criminal you
:17:05. > :17:11.can start to say something about what they might look like. As well
:17:12. > :17:16.as using DNA to work out what people might look like, the team is
:17:17. > :17:20.developing a way to narrow down names of potential offenders by
:17:21. > :17:25.examining DNA found at crime scenes. As things progress into the future,
:17:26. > :17:30.there is only going to be more ways in which you are able to work with
:17:31. > :17:37.the police. Yes, it has been suggested what if we had a database
:17:38. > :17:41.that type surnames and you go to the crime scene and you type the live
:17:42. > :17:46.chromosome and see what surnames it brings up. If you have someone in
:17:47. > :17:52.your suspect list, go to them first if they have that surname. It helps
:17:53. > :17:58.please prioritise. It does not have to be you that is on the DNA
:17:59. > :18:04.database, just somebody with the same surname as you and they would
:18:05. > :18:08.get that hit. It seems the possibilities of DNA analysis are
:18:09. > :18:13.endless. I want to see first-hand just how revealing this information
:18:14. > :18:19.can be. So she is going to take a sample of my DNA. What is the method
:18:20. > :18:26.for testing? I need to get some of your saliva I am afraid to get your
:18:27. > :18:34.DNA. Spit in this glamorous spit kit. We need to collect saliva up to
:18:35. > :18:38.about that line. That is a lot. Go off somewhere and sit by yourself
:18:39. > :18:43.and when you come back we will process that and I can extract your
:18:44. > :18:50.DNA. What will you be able to tell about me? It will tell you a region
:18:51. > :18:55.where your female ancestry comes from and I can tell you about your
:18:56. > :18:58.hair colour and Europe eye colour and I can tell you whether you are
:18:59. > :19:06.lactose intolerant or whether you are sensitive to caffeine. And that
:19:07. > :19:09.is all from spit? Yes, it is amazing what you can do these days.
:19:10. > :19:11.Yes, it is amazing what you can do these days.
:19:12. > :19:14.Well, I'm really intrigued to know what my results will say about me.
:19:15. > :19:17.I'll be getting them later in the programme.
:19:18. > :19:19.Now, the experts here in Leicester have gained a well-deserved
:19:20. > :19:21.reputation for forensic brilliance and not just with ancient bones.
:19:22. > :19:23.The scientists at Leicester University are often called
:19:24. > :19:25.on by police to help with all kinds of cases.
:19:26. > :19:28.And Dr Robert Hillman is with me now.
:19:29. > :19:37.And PhD student Jodie. We are going to get an experiment going.
:19:38. > :19:45.Tell me a bit more about the work you are doing. My background is in
:19:46. > :19:51.chemistry and we have been developing methods to reveal latent
:19:52. > :19:57.or non-visible fingerprints on objects made of metal and paper and
:19:58. > :20:03.other substances. If we look at this bullet casing the fingerprints are
:20:04. > :20:08.very clearly visible. How will we make my fingerprints on that side
:20:09. > :20:13.visible? We have a reagent that we have developed that contains silver.
:20:14. > :20:20.All of your fingerprint Richard Marx that you have left on there, we will
:20:21. > :20:26.blanket of parts of the surface and this reagent will react with all the
:20:27. > :20:33.bare copper in the brass and we will have a silver deposit that will give
:20:34. > :20:39.us an image of the fingerprint. And that is so clear. Is this technique
:20:40. > :20:43.police forces are using the moment? Not at the moment, we developed it
:20:44. > :20:47.in the research laboratory and we are trying to transfer that to the
:20:48. > :20:53.practical laboratories and the police are very interested in it. It
:20:54. > :21:02.is very effective and it would be brilliant to work alongside the
:21:03. > :21:09.police. I suspect? Of course you are. You saw it here first.
:21:10. > :21:13.Right, lots more to come this morning, including: The young woman
:21:14. > :21:16.subjected to a terrifying attack as she walked home from the shops.
:21:17. > :21:19.He said, "if you do anything, if you say anything,
:21:20. > :21:33.And the robber who preyed on a vulnerable student, now behind bars,
:21:34. > :21:37.thanks for your help. When we got the call we were really pleased.
:21:38. > :21:39.For more than 7,000 disabled people in Britain assistance dogs offer
:21:40. > :21:42.They can also help with practical tasks.
:21:43. > :21:45.But a charity is warning people to be cautious about where they get
:21:46. > :21:47.these dogs from after a series of investigations into
:21:48. > :21:51.Peter Gorbing from Assistance Dogs UK is here.
:21:52. > :21:53.Peter, we'll talk to you in a moment.
:21:54. > :21:55.But first, let's hear from Wayne Deacy.
:21:56. > :21:59.He paid almost ?5,000 for a dog for his grandson who has autism
:22:00. > :22:02.and his granddaughter who has anxiety.
:22:03. > :22:08.But rather than helping the children, the dog attacked them.
:22:09. > :22:17.The dog would run past the children to follow us and knock the children
:22:18. > :22:25.flying. On this one occasion I saw the dog bite my grandson when he
:22:26. > :22:28.walked past him. The next day he scratched him down the face because
:22:29. > :22:32.my boy had a biscuit and we knew we could not keep the dog any more.
:22:33. > :22:37.Having children with their disabilities is hard and having a
:22:38. > :22:41.dog who is supposed to change that and help them and it does not and
:22:42. > :22:47.you are left with the aftermath and it is just horrendous.
:22:48. > :22:54.A terrible ordeal for Wayne and his family, but his case is not unique.
:22:55. > :22:58.There have been a number of cases and it is a terrible turmoil for the
:22:59. > :23:04.families and huge financial hardship. We can see what a genuine
:23:05. > :23:08.assistance dog can be like now in some footage. This is what they
:23:09. > :23:14.should be like and how much of a great help they can be. They need
:23:15. > :23:18.incredible, careful selection, training and matching and a lot of
:23:19. > :23:24.support goes into the families, for example with this child with autism.
:23:25. > :23:28.It is not about dominating and control of the dog, but building a
:23:29. > :23:31.relationship with the dog so it feels confident to be in a lot of
:23:32. > :23:37.different environments and that takes time. Nice and calm and what
:23:38. > :23:41.we want to see. What can be done to ensure that everyone who gets the
:23:42. > :23:48.dog has been trained to that good standard? We work to international
:23:49. > :23:53.standards and they are accredited against those. Sadly there are not
:23:54. > :23:57.standards in the UK, but we are working with the government and
:23:58. > :24:01.other organisations to see if we can rectify that so people can be
:24:02. > :24:06.confident so this never happens again. What advise you can give
:24:07. > :24:10.people to make sure they do not get their fingers burned? If you see a
:24:11. > :24:16.website that offers all sorts of different kinds of disabilities and
:24:17. > :24:19.dogs, I would be wary because I do not think those people have the
:24:20. > :24:26.skills to do that. Check out the organisation. Can you visit? Can you
:24:27. > :24:30.see the dogs being trained? If someone says you can have a dog very
:24:31. > :24:33.quickly, I would be very wary because this takes a lot of time and
:24:34. > :24:41.preparation to get the right dog for you to stop we have heard of all
:24:42. > :24:45.sorts of stories. Never buy a dog from a service station. That is
:24:46. > :24:49.totally wrong place to be working with a dog. Be careful and do due
:24:50. > :24:54.diligence. I know people are desperate, but be careful. Great
:24:55. > :24:58.advice, thank you so much for coming in.
:24:59. > :25:00.Next to a crime which happened just two months ago here
:25:01. > :25:03.in the centre of Leicester, when a young woman found
:25:04. > :25:08.herself caught up in a terrifying street robbery.
:25:09. > :25:19.He grabbed my wrist and that is when I felt like, oh, God, help me, what
:25:20. > :25:25.is going to happen? I then started crying hysterically and that is when
:25:26. > :25:36.he started saying, you are going to get stabbed, you need to stop right
:25:37. > :25:41.now. This 29-year-old lives in the city centre of Leicester. I have
:25:42. > :25:46.been in Leicester for ten years. I came to university and stayed. I am
:25:47. > :25:50.involved in a community of international students and people
:25:51. > :25:52.who travel around a lot and we do a lot of social activities like
:25:53. > :26:02.learning Spanish and playing the guitar. On the evening of Easter
:26:03. > :26:08.Monday she had been to her local supermarket to buy food and was on
:26:09. > :26:12.her way back home. I was walking just past the student halls, it was
:26:13. > :26:20.not an unsafe route, I have wanted a million times before. But this time
:26:21. > :26:25.as she walked along York Road, she realised she was being followed.
:26:26. > :26:36.There was a gentleman who was walking close to me. He grabbed my
:26:37. > :26:45.wrists. That is when I felt like, oh, God, help me. What is going to
:26:46. > :26:48.happen? That is when I felt like it was my worst nightmare realise. I
:26:49. > :26:53.never imagined anything like this would happen to me. He said, what we
:26:54. > :26:58.are going to do is go to the cashpoint and get some cash out. I
:26:59. > :27:03.started screaming because there were people in the street, but no one
:27:04. > :27:09.responded. Then her ordeal took an even more terrifying time. At this
:27:10. > :27:14.point he said he had a knife. He kept saying, if you make a noise,
:27:15. > :27:18.scream or say anything, I will stab you. If I did not stop crying and
:27:19. > :27:28.get myself together, he would stab me. But the attack had been spotted
:27:29. > :27:31.by a passing student. The moment she started crying and he put his arm
:27:32. > :27:38.around her that is when I knew straightaway I have got to follow, I
:27:39. > :27:43.cannot leave her alone. The man marched along the road, passing
:27:44. > :27:48.several people. Somebody turned the corner and he said if you do or say
:27:49. > :27:52.anything, I will stab you. Make sure you are a good girl and nothing will
:27:53. > :27:59.happen to you if you do that. Get the cash out and we will be OK. A
:28:00. > :28:03.few metres behind, Rebecca was watching the attack unfold. It was
:28:04. > :28:08.literally like she was crying for help in that split second. I knew I
:28:09. > :28:14.had to do something because I was really angry because she was so
:28:15. > :28:23.small in comparison to him. As the man forced her to withdraw ?140,
:28:24. > :28:27.Rebecca sprung into action. From behind as a girl pushed him away
:28:28. > :28:34.from the cashpoint and attacked him. I pushed myself in between them and
:28:35. > :28:41.grab his arm. They got into a bit of a scuffle. He was surprised a woman
:28:42. > :28:48.was fighting him and was giving a pretty good fight. I realised I was
:28:49. > :28:53.free, I had left my card in the cashpoint, I did not care, I wanted
:28:54. > :29:00.to be safe. I tried to grab as much of the money as I could, but he was
:29:01. > :29:05.stronger, so I could not manage it. The attacker ran off with the money.
:29:06. > :29:15.Thanks to Rebecca, her ordeal was finally over. She is just so brave.
:29:16. > :29:21.Oh people just do not get involved. The fact that she intercepted, I am
:29:22. > :29:29.eternally grateful. For Amy catching the culprit would mean everything.
:29:30. > :29:34.Even now if somebody comes up behind me it scares me, I feel a bit on
:29:35. > :29:37.edge watching out around me now and I do not know how to get out of it.
:29:38. > :29:41.He got to me. Well, DC Jim Muzzell
:29:42. > :29:44.from Leicestershire Police is here. This must have been a really
:29:45. > :29:53.frightening experience. It was extremely traumatic, coupled
:29:54. > :29:56.with a fact that a knife was threatened against Ireland the
:29:57. > :30:09.incident lasted between four and five minutes. What do we know about
:30:10. > :30:15.the guy who did this? We have created an e-fit.
:30:16. > :30:18.The suspect is a man, described as mixed race,
:30:19. > :30:20.he's between 25 and 30 years old, around 5ft 11ins
:30:21. > :30:33.The attacker's behaviour was worrying. Yes. That is why we are
:30:34. > :30:37.keen to apprehend him. He was methodical in his approach, he has
:30:38. > :30:41.picked up a vulnerable female and when he realised she did not have
:30:42. > :30:47.any cash on her person he led her to a cashpoint machine and forced her
:30:48. > :30:51.to take a shot. This was a Bank Holiday Monday, a busy area, why did
:30:52. > :30:59.you think no one intervened before Rebecca? Speaking with the victim
:31:00. > :31:02.people may have thought it was a domestic argument taking place
:31:03. > :31:09.between girlfriends and boyfriends and do not want to get involved. It
:31:10. > :31:14.was a Bank Holiday Monday, we believe there were loads of people
:31:15. > :31:18.around. It is an arterial route out of Leicester and passers-by would
:31:19. > :31:23.have seen her particularly at the cashpoint and we are appealing for
:31:24. > :31:29.members of the public to provide us with an formation either about the
:31:30. > :31:32.subject -- axel suspect of other information that would assist us.
:31:33. > :31:35.And remember, as well as our numbers on screen
:31:36. > :31:38.you can also call Crimestoppers anonymously on 0800 555 111.
:31:39. > :31:42.Also, if you've been a victim of any crime
:31:43. > :31:47.you can speak to Victim Support on 08 08 16 89 111.
:31:48. > :31:49.Now, for most people, this is a sign you'll recognise,
:31:50. > :31:55.8.7 million people in the UK are members of the scheme,
:31:56. > :31:57.and this year it marks its 35th anniversary.
:31:58. > :32:01.I'm joined by Lynn Farrar, the Chair of Neighbourhood Watch,
:32:02. > :32:04.and Gill Faulkner, who is a member of a Neighbourhood Watch scheme
:32:05. > :32:09.Lynn, 35 years is quite an achievement.
:32:10. > :32:17.Remind us what the scheme's all about.
:32:18. > :32:23.It is about preventing crime in the community. Figures show that fewer
:32:24. > :32:30.remember of a neighbourhood watch scheme it can reduce crime up to
:32:31. > :32:33.21%. A massive amount. We can see some of the pictures of the
:32:34. > :32:39.community spirit you mention, it is about people helping each other out.
:32:40. > :32:44.You are a member of a neighbourhood watch scheme and you helped stop a
:32:45. > :32:50.crime. It was around midnight and my husband spotted three people
:32:51. > :32:56.loitering around a neighbour's house across the road and he informed me
:32:57. > :33:00.they were dismantling the garden furniture ready to take away so he
:33:01. > :33:06.asked me to call the police. I rang the police and then I rang the lady
:33:07. > :33:12.who lived opposite me and informed her that they were stealing the
:33:13. > :33:18.garden furniture. Within five minutes the police arrived, they
:33:19. > :33:23.arrested the three people and they were charged. It was a huge success.
:33:24. > :33:29.It is all about helping your neighbours out. Well done. We need a
:33:30. > :33:34.neighbour like you. It has been around for 35 years but you have had
:33:35. > :33:39.to evolve, what have you done? We have had to modernise. Prime has
:33:40. > :33:44.changed. Although we still have burglaries we are concentrating more
:33:45. > :33:52.on online crimes such as scams and online fraud. We are enabling our
:33:53. > :33:56.members through the website so all the information is there and we hope
:33:57. > :34:01.that people will visit the website and find out more. You also use
:34:02. > :34:11.social media to spread the word. Yes. You are keeping up with the
:34:12. > :34:11.times. We are. Happy anniversary to neighbourhood watch and happy
:34:12. > :34:15.birthday to you. And of course, similar
:34:16. > :34:16.to Neighbourhood Watch, this programme relies on the help
:34:17. > :34:19.of the public to solve crimes. Just like the case we featured
:34:20. > :34:22.last summer of a young student who was mugged
:34:23. > :34:34.on his university campus. For any teenager, starting out at
:34:35. > :34:40.University is a daunting time. Before I began university I had some
:34:41. > :34:47.level of anxiety but I was really excited because I knew so much about
:34:48. > :34:50.my life would change. When Alex left for university we were both very
:34:51. > :34:56.sad. I was in tears but I thought he is a young man and he has to go out
:34:57. > :35:02.and he has to enjoy life. When a child has a disability it is very
:35:03. > :35:07.hard. Alex has spina bifida, a neurological condition that affects
:35:08. > :35:12.the spinal-cord. I have a very poor mobility and doing any amount of
:35:13. > :35:16.walking is quite a challenge. I do not have any feeling below the knee.
:35:17. > :35:21.When we came to visit Newcastle we were very pleased and we thought his
:35:22. > :35:25.lectures and where he has the go is very close, he does not have far to
:35:26. > :35:31.walk. I felt very safe, I never sensed any danger and did not think
:35:32. > :35:38.anything was realistically going to happen to me. On a Sunday afternoon
:35:39. > :35:44.in February last year Alex was targeted by a callous criminal. It
:35:45. > :35:49.was Valentine's Day. Alex was walking through the university
:35:50. > :36:00.campus on his way home. He was being followed. Walking slowly, a man was
:36:01. > :36:06.keeping a close eye on him. Waiting for an opportunity to strike. Alex
:36:07. > :36:13.had no idea he was being watched. Then things turned nasty. Just as
:36:14. > :36:19.Alex got his phone out, the man confronted him. He barged into me
:36:20. > :36:26.and then he came up in front of me and threatened me if I did not give
:36:27. > :36:30.him my phone. Alex was terrified. The attacker snatched his Ford,
:36:31. > :36:41.demanding to know his PIN number and made off. I felt so sick inside. I
:36:42. > :36:50.was livid. Absolutely livid. He had phoned independence and somebody had
:36:51. > :36:56.taken that away in a flash. Police turn to crime watch to see whether
:36:57. > :37:00.viewers could help solve this case. Within days of last summer's appeal
:37:01. > :37:05.their investigation took a big step forward. Clearly this was a
:37:06. > :37:11.despicable crime and one which the police were prim, committed to
:37:12. > :37:14.finding the person responsible. We had an excellent response from the
:37:15. > :37:20.public including Paula who watched the show and identify the person.
:37:21. > :37:26.This corroborated telecoms analysis we had conducted. The 18-year-old
:37:27. > :37:31.admitted two counts of robbery against two university students. In
:37:32. > :37:34.the case of Alex the court took account of his vulnerability and the
:37:35. > :37:39.fact he had been threatened with the use of a gun. He was put before
:37:40. > :37:44.Newcastle Crown Court and sentenced to 3.5 years in custody which sends
:37:45. > :37:48.a strong message that the police, the courts and the public will not
:37:49. > :37:53.tolerate criminals targeting vulnerable members of our community.
:37:54. > :37:58.When we got the phone call to say he had been caught we were really
:37:59. > :38:04.pleased. His anxiety was quite high so we had a long road. He is getting
:38:05. > :38:08.there slowly, but he is getting there. After the attack Alex was too
:38:09. > :38:16.afraid to continue living in the City centre. I definitely had a
:38:17. > :38:21.desire to move home. I felt like I could no longer do the things
:38:22. > :38:24.Newcastle I had previously done. With his attacker off the streets
:38:25. > :38:32.his confidence is growing again and he is studying hard for his degree.
:38:33. > :38:39.I you looking forward to your exams? You can look forward to exams. I
:38:40. > :38:46.feel like it generated significant public attention towards the case. I
:38:47. > :38:46.feel like that with a very big role in my attacker eventually being
:38:47. > :38:49.caught and arrested. Really great to see
:38:50. > :38:52.the difference your calls can make. Talking of which, take a look
:38:53. > :38:54.at today's Wanted Faces. He was arrested by detectives
:38:55. > :39:00.investigating a telephone fraud in which victims lost more than half
:39:01. > :39:03.a million pounds. He was released on police bail
:39:04. > :39:06.but has failed to return Dogra is 34 and originally
:39:07. > :39:10.from India with friends in London. He was due to appear in court
:39:11. > :39:17.in connection to allegations that elderly people were charged
:39:18. > :39:19.for shoddy or uncompleted He didn't turn up for his trial
:39:20. > :39:24.though and a warrant has been The 41-year-old has links to Sussex,
:39:25. > :39:29.Hampshire, Surrey and Hertfordshire. This is Hakeem Shittu,
:39:30. > :39:31.although he also uses Detectives would like to speak
:39:32. > :39:37.to him in connection to the supply The 31-year-old has a bullet
:39:38. > :39:42.scar on his left leg He has friends and family
:39:43. > :39:48.in Northolt and Uxbridge in West London and also in Oxford,
:39:49. > :39:52.Abingdon and Witney. Finally today, this
:39:53. > :39:55.is Lukasz Malisz. The 30-year-old is wanted
:39:56. > :39:59.for questioning after drugs and more than ?13,000 of cash were found
:40:00. > :40:02.at a house in Cardiff. Originally from Poland,
:40:03. > :40:05.he now has links across south Wales. If you know where any
:40:06. > :40:07.of these men are make sure you get in touch
:40:08. > :40:15.using the numbers on screen. I'm here with Professor Turi King,
:40:16. > :40:17.one of the team of pioneering forensic scientists
:40:18. > :40:20.at Leicester University. Turi, your colleagues were actually
:40:21. > :40:23.the first in the world to use DNA profiling techniques
:40:24. > :40:36.to solve a murder case. It was one of the most amazing
:40:37. > :40:43.inventions in forensic science in the 80s, Alec Jeffreys' team. You
:40:44. > :40:49.took a sample of my saliva to test my DNA. What did you find out? I was
:40:50. > :40:53.looking at mitochondrial DNA which comes down through the female line.
:40:54. > :40:58.One of the nice things about yours as it shows as you have got what
:40:59. > :41:04.looks like European ancestry. I do not know if you know about this but
:41:05. > :41:09.it is a type phoned at its highest frequencies in Europe. Did you know
:41:10. > :41:17.about this? My mum is mixed race, so my family are from Ghana and
:41:18. > :41:24.Britain. That is what is showing up in your mitochondrial DNA. No then
:41:25. > :41:28.European. If you did not know this it is a starting off point for
:41:29. > :41:33.looking at your ancestry. It is really nice because without knowing
:41:34. > :41:36.anything about you I can say something about your ancestry and
:41:37. > :41:41.this is what is going on in forensics, you can use a person's
:41:42. > :41:48.DNA to say where their ancestry is likely to come, here and I colour.
:41:49. > :41:52.It is interesting what you can find out about someone without even
:41:53. > :41:56.meeting them. This is what we want to be able to do with forensics. If
:41:57. > :42:00.you have no suspects and you want to build a profile these are the bits
:42:01. > :42:07.of DNA we are interested in looking at. It is a great way to work
:42:08. > :42:14.alongside the police. Yeah. It is fascinating. Thank you. Not at all.
:42:15. > :42:17.Turi, thank you, I've certainly learned a lot this
:42:18. > :42:20.morning and now you've got my DNA on file I'd better behave myself!
:42:21. > :42:25.Time now for a look at what's been coming in on the calls,
:42:26. > :42:29.Yesterday we showed you the shocking case of a mother and her young
:42:30. > :42:32.daughter who were injured when a car crashed into them. Footage showed
:42:33. > :42:36.the crash on the two men who left the scene. You have called in with
:42:37. > :42:41.potential names and addresses which officers say are of great interest.
:42:42. > :42:43.Excellent work. Thank you. Keep them coming.
:42:44. > :42:48.Well, Rav, I'll be heading to my home town next week.
:42:49. > :42:50.Where we'll have an exclusive interview with the Chief Constable
:42:51. > :42:58.In his first extended TV interview since the arena terrorist atrocity
:42:59. > :43:06.Ian Hopkins will be telling us about the moment the first 999 calls
:43:07. > :43:08.came in, the selfless work of his officers.
:43:09. > :43:16.For more details about the crimes on today's programme,
:43:17. > :43:19.And before we go, here's another look at this
:43:20. > :43:23.If any of them look familiar, pick up the phone and tell
:43:24. > :43:26.We'll be back on Monday at 9:15am after Breakfast.
:43:27. > :44:04.Across the country, 11 million people