:00:00. > :00:10.We're live and standing by for your help to solve crime where you live.
:00:11. > :00:12.Today, an overseas student working night shifts to make ends meet left
:00:13. > :00:29.I really hope this guy gets caught soon, and maybe ever goes through
:00:30. > :00:33.this again. And we are with West Midlands Police as they join forces
:00:34. > :00:40.with East European office to combat cross-border crime. This vehicle has
:00:41. > :00:43.no insurance, so this chap is committing an offence.
:00:44. > :01:00.We're continuing our journey with the UK's police forces asking for
:01:01. > :01:03.your help to hunt down the criminals who affect our everyday lives.
:01:04. > :01:19.The mugger with a Friar Tuck haircut who struck seven victims. He was
:01:20. > :01:26.choosing elderly ladies, easy pickings, I suppose. I just hope he
:01:27. > :01:29.gets his comeuppance. And roadside rage as a man is
:01:30. > :01:34.knocked to the ground by an angry driver, his worry is for the safety
:01:35. > :01:38.of the female passenger. What has happened to me I have to deal with,
:01:39. > :01:42.but she has to deal with that man's rage, and I hope that she can cope
:01:43. > :01:45.with it, and if she can't, she should get in touch with somebody.
:01:46. > :01:48.Today we're back in the West Midlands, and Sian and the team have
:01:49. > :01:55.I may be in a secret location, but what I can tell you is that I'm
:01:56. > :01:57.somewhere near Birmingham at the headquarters of the National
:01:58. > :02:00.I'll be finding out how they trace a bullet back to
:02:01. > :02:04.And we'll see the latest scanning kit
:02:05. > :02:11.As you can see there's lots on solving gun crime today, and our
:02:12. > :02:14.first appeal is to find the armed robber who confronted a student
:02:15. > :02:32.I was just thinking about my mother at that second. I owe her a lot, and
:02:33. > :02:43.I was thinking about her. The other thing I was thinking was, is this
:02:44. > :02:47.it? Life over? Originally from Bangalore in India, he is now in his
:02:48. > :02:52.third year studying aerospace engineering at Coventry University.
:02:53. > :03:08.I always wanted to be a pilot. I always wanted to get into the
:03:09. > :03:12.aerospace industry. Shashwath worked at a petrol station to fund his way
:03:13. > :03:17.through university. It got me to interact with a lot of people, and
:03:18. > :03:21.aid the bills. On the night of the 20th of April, around nine o'clock,
:03:22. > :03:27.Shashwath found himself alone in the shop. It was a bank holiday Monday
:03:28. > :03:29.the next day, so it is quiet. He had just sat down to text a friend when
:03:30. > :03:32.he heard a noise. the next day, so it is quiet. He had
:03:33. > :03:36.just sat down to text a friend I heard a click in the door, and I saw
:03:37. > :03:41.it open, so I stood up. I couldn't see anybody, and I took a moment to
:03:42. > :03:50.look down, and I saw some body crouched. The man put something in
:03:51. > :03:53.the door to jam it open. I soon realised he had a mask on his face
:03:54. > :03:59.and was covered with a hoodie, and he had a plastic bag in his hand.
:04:00. > :04:10.CCTV shows the man standing up and making his way towards Shashwath at
:04:11. > :04:16.the cash desk. He put the bag on the table, and said, put all of the
:04:17. > :04:20.money in the bag. He had a gun. My eyes were on the trigger. I just
:04:21. > :04:28.lifted my hands up, and I was thinking about my mum. He said,
:04:29. > :04:33.nothing funny, nothing funny, put the money in the bag. He was waving
:04:34. > :04:40.a gun, so I was really scared. I thought this was it, life is over.
:04:41. > :04:45.Once the till was cleaned out, the gunman calmly turned and walked out.
:04:46. > :04:53.He stopped at the door to remove the object he had used to prop it open.
:04:54. > :04:58.Then I took a minute to sit down, and then I started breaking down and
:04:59. > :05:01.breaking up. Though he made off with only a couple of hundred pounds,
:05:02. > :05:08.police take armed robbery very seriously. By using a firearm, he
:05:09. > :05:13.has put himself at considerable personal risk for not very much
:05:14. > :05:15.money. This offence attract considerable sentence, and my team
:05:16. > :05:21.are determined to put him behind bars. Since the robbery, Shashwath
:05:22. > :05:26.has felt the separation from his mum in India more than ever. I used to
:05:27. > :05:33.call her in the middle of the night to say hello, and she would ask if
:05:34. > :05:37.everything is OK. My parents wanted to come here in the next month, and
:05:38. > :05:40.I have had to tell them not to come, because I didn't want them to know
:05:41. > :05:45.what is happening and what has been going on. I have just changed the
:05:46. > :05:54.way I think, and I really hope this guy gets caught soon. I hope that
:05:55. > :05:58.nobody ever goes through this again. Nick Dale, leading this
:05:59. > :06:09.investigation, is with me now. He got away with only ?200. This is a
:06:10. > :06:13.very serious offence, isn't it? That is right. By using a firearm, and he
:06:14. > :06:17.has caused a lot of distress and risks a significant sentence. Is
:06:18. > :06:25.this unusual for this part of commentary? -- Coventry?
:06:26. > :06:27.Yes, very unusual to see a firearm used in this sort
:06:28. > :06:30.It must have been extremely frightening.
:06:31. > :06:34.A white man wearing a waist-length button jacket, a baseball cap
:06:35. > :06:38.He's in his early 20s, of slim build with blue eyes and
:06:39. > :06:47.He had a white gym glove and a JD sports bag that was ripped.
:06:48. > :06:54.It was some sort of golf glove that he was wearing on his left hand. And
:06:55. > :07:02.also a sports bag like this one, with a drawstring top. Those could
:07:03. > :07:04.be vital in the attempted to get hold of this man. If you can help,
:07:05. > :07:08.please get in touch. Now it's time to have a look
:07:09. > :07:10.at today's Wanted Faces. First up today is this man,
:07:11. > :07:13.64-year-old Allan Francis Goodin. He was jailed for three years
:07:14. > :07:15.for 11 different offences including burglary, theft
:07:16. > :07:17.and obtaining services dishonestly, He's failed to stick to
:07:18. > :07:21.the conditions of his release Goodin is known to use at least 27
:07:22. > :07:26.different identities and has links 44-year-old Russell Broughton was
:07:27. > :07:34.sentenced to four years in prison in April this year for his role
:07:35. > :07:39.in a fight at a bar in Birmingham. Broughton failed to appear
:07:40. > :07:41.in court for sentencing He was last known to be in the
:07:42. > :07:45.West Midlands area. Next is this man,
:07:46. > :07:49.Michael John Hayes. Detectives in Dorset want to
:07:50. > :07:51.question him in connection with a distraction burglary in which
:07:52. > :07:55.an elderly lady had items stolen. The 59-year-old has connections
:07:56. > :08:00.to Brighton but where is he now? And last up today is
:08:01. > :08:04.24-year-old Roger Balint. Detectives want to question him
:08:05. > :08:07.in connection with an incident in April this year in which a car
:08:08. > :08:10.was driven into a moped, causing Balint has links to the Greater
:08:11. > :08:16.Manchester area and the Isle of Man. He also has a bald patch
:08:17. > :08:20.on the top of his head. If you know where any of them are,
:08:21. > :08:24.make sure you pick up the phone. Some network
:08:25. > :08:31.and mobile operators will charge. Or text us on 63399,
:08:32. > :08:33.and you'll be charged Or you can send us
:08:34. > :08:39.an e-mail to cwr@bbc.co.uk. In the last ten years, the number of
:08:40. > :08:50.gun-related offences have halved, and that's partly due to the
:08:51. > :08:54.establishment of NABIS, the National The state-of-the-art labs here have
:08:55. > :08:57.the technology to pinpoint the exact gun used in a crime and whether it's
:08:58. > :09:00.been involved in previous crimes. Martin Parker is head
:09:01. > :09:11.of forensics here. I am comparing a test fired bullet
:09:12. > :09:18.on the left to a bullet recovered from a crime scene on the right. Why
:09:19. > :09:21.is that so important? In the UK, it is difficult for criminals to get
:09:22. > :09:25.hold of guns, so they are used repeatedly. By doing these tests, we
:09:26. > :09:29.can link between scenes when the same gun is used, and when a gun is
:09:30. > :09:35.recovered, we can link it back to the previous scenes it has been used
:09:36. > :09:39.in. You mentioned test-firing yesterday. We filmed you carrying
:09:40. > :09:44.out some test-firing in the shooting range next door. It looked like you
:09:45. > :09:51.were shooting into a block. Talkers through what you were doing. That
:09:52. > :09:57.was ballistics. I was test-firing a self loading pistol. The bullet here
:09:58. > :10:01.is the bullet from that weapon, and I am comparing it with one from a
:10:02. > :10:04.previous crime scene. Normally I would be looking down the
:10:05. > :10:09.microscope, but you can see what I can see down the microscope on the
:10:10. > :10:20.screen there. So you are lining up the ridges? Yes, they are marks from
:10:21. > :10:26.the barrel. Will that be left from a barrel on a particular bullet? These
:10:27. > :10:30.marks are unique. You can see it is like a supermarket bar code. The
:10:31. > :10:35.marks are unique to that barrel. So what I can say looking at this,
:10:36. > :10:38.comparing these two bullets, I can say conclusively that they were
:10:39. > :10:42.fired from the same gun. So the gun you saw testified yesterday is
:10:43. > :10:48.definitely the gun which fired that crime scene bullet. Thank you for
:10:49. > :10:52.taking us through that. The threat from guns is ever evolving, and this
:10:53. > :11:03.scheme -- seems incredible. 3D printers can be bought
:11:04. > :11:06.on the high street and they are able Dr Simon Leigh
:11:07. > :11:20.from the university of Warwick has You can download this from the
:11:21. > :11:24.Internet or draw it to the machine, it turned into software commands,
:11:25. > :11:30.and draws it out and builds up your part in 3-D. So it is difficult for
:11:31. > :11:35.normal manufacturer where it takes a block and shades it down, this build
:11:36. > :11:40.it up. And how long does this process take? Anything from 20
:11:41. > :11:43.minutes to a number of hours, depending on the size of the parts.
:11:44. > :11:47.Thank you for taking us through that. It will still be going
:11:48. > :11:50.throughout the programme, and we're going to be coming back later in
:11:51. > :12:08.that programme as well to check on this, so checking with us later on.
:12:09. > :12:13.Now, we need your help to identify these criminals, and this is quite
:12:14. > :12:17.upsetting. The robbers drag a staff member across the store, and one
:12:18. > :12:22.pulls him into an aisle where he is beaten with a gun and punched
:12:23. > :12:25.repeatedly. He is powerless to stop them grabbing cash from under the
:12:26. > :12:29.till and emptying the cigarette display. They fill a bin liner with
:12:30. > :12:33.tobacco is one of the men brandishes a black handgun. In just two
:12:34. > :12:38.minutes, they take three grand in cash, cigarettes and alcohol.
:12:39. > :12:42.Detectives believe the game comes from south-east London, and so the
:12:43. > :12:47.gun has not been found. Were you on old road in Dartford that night? Did
:12:48. > :12:55.you see these men running away from the shop? We need to know. November
:12:56. > :12:59.last year, and two men appear to be having words in a West London
:13:00. > :13:05.bookies. But things turn heated as one is pushed across the room into a
:13:06. > :13:09.doorway. The scuffle is broken up, but moments later, the man in the
:13:10. > :13:15.cap hits the other punter, knocking him into a gaming machine, which
:13:16. > :13:21.falls over. Still on the ground, the victim is punished again. He seeks
:13:22. > :13:25.refuge at the back of the shop, while his attacker rants and raves.
:13:26. > :13:37.He keeps up his Thai raid until eventually he calms down and walks
:13:38. > :13:39.out. -- he keeps up his tirade. If you know any of those crooks, get in
:13:40. > :13:42.touch. Now to
:13:43. > :13:55.a concerned onlooker who ended up It has affected me terribly. I keep
:13:56. > :13:57.re-enacting it, that is the trouble. Thinking of all of the things I
:13:58. > :14:11.should have done differently. On his way home from work one night
:14:12. > :14:17.in March, Paul Grub got off the bus to pick up a takeaway. It is a
:14:18. > :14:23.regular Friday night for me. That is what I usually do. I was looking
:14:24. > :14:35.forward to having my Chinese and going home. Paul was minding his own
:14:36. > :14:41.business at the bus stop when his night took a turn for the worse. A
:14:42. > :14:47.card pulled up in front of me, and the man was smashing on the steering
:14:48. > :14:52.wheel, raging in the car. He was obviously upset. He was in a proper
:14:53. > :14:56.road rage. His girlfriend was frozen in the passenger seat. She wasn't
:14:57. > :15:01.looking at him. She looked incredibly nervous. Then the driver
:15:02. > :15:06.noticed that Paul was looking at him. I probably should have picked
:15:07. > :15:13.up my takeout and moved away from the situation, but I was like a deer
:15:14. > :15:17.in the headlights, looking at him. Without warning, the driver leapt
:15:18. > :15:19.out of his car. The next thing I know, he dived out and punched me in
:15:20. > :15:42.the face. he was doing. It was a straight left
:15:43. > :15:47.to the right cheekbone. That was obviously something he knows how to
:15:48. > :15:52.do. While Paul lay dazed on the pavement, the driver ran back to his
:15:53. > :16:00.car and drove off at speed. I came home, I was bleeding a little bit. I
:16:01. > :16:03.was obviously in a state of shock. I went to bed and when I got up in the
:16:04. > :16:10.morning I could not see through my eye. That is when I went to
:16:11. > :16:16.hospitals. This has affected me and I feel sorry for other people who
:16:17. > :16:23.aren't as tough as me. It has upset me, it is a living hell. It has
:16:24. > :16:28.taken some getting over. Police want to know who is responsible for this
:16:29. > :16:33.attack on an innocent bystander. He has taken all his anger out on
:16:34. > :16:40.Paul. It was an unprovoked attack and he did not deserve that. He is
:16:41. > :16:49.described as a mixed race mail. Early 20s. About five foot six. The
:16:50. > :16:55.car, we believe is a silver VW, either a golf or a polo but it is a
:16:56. > :16:59.BW golf, polo style car. Police want to talk anybody he was in the
:17:00. > :17:06.attack's car that night. Particularly the woman in the
:17:07. > :17:12.passenger seat. She knows what went on. What has happened to me, I have
:17:13. > :17:18.to deal with. But she has to deal with that man's rage. I hope she can
:17:19. > :17:22.cope with it. If she can't, she should get in touch with it. She
:17:23. > :17:30.knows who this man is and she knows why he was so angry and she might
:17:31. > :17:33.know why he vented his anger out on Paul. We would appreciate if she
:17:34. > :17:39.came forward and told as who this individual was and why he was so
:17:40. > :17:45.angry on this day. Paul has yet to recover from this assault. I could
:17:46. > :17:49.not believe anybody would just jump out of the car and punch somebody.
:17:50. > :18:07.It is shocking. It is unbelievable you would just do that. It has
:18:08. > :18:19.butted me. -- gutted. I would like to say to your man, he has punched a
:18:20. > :18:22.63-year-old man in the face. When he is digging it up, I would like to
:18:23. > :18:34.remind him that is who it was he punched. Sargeant Neata Simpson is
:18:35. > :18:39.leading this investigation. The car is important, what is it you are
:18:40. > :18:45.looking for? It is a Silver Volkswagen goal. There was a
:18:46. > :18:51.passenger in the front, but you think there could have been more
:18:52. > :18:58.people who could help you? Two passengers in the rear of the
:18:59. > :19:03.vehicle. 28th of March, 11 B -- 11pm, Harborne, a busy part of
:19:04. > :19:09.Birmingham, shops and people might be out and about. What direction was
:19:10. > :19:15.that are heading off in? We believe people would have seen the vehicle
:19:16. > :19:23.on the high street and it made off at speed towards Birmingham City
:19:24. > :19:29.centre. Anybody who saw that car leaving Harbourne High Street on the
:19:30. > :19:36.28th of March around 11 o'clock, please get in
:19:37. > :19:40.We've still got a lot to bring you on this Tuesday morning.
:19:41. > :19:43.We'll be putting a state-of-the-art plastic gun
:19:44. > :20:01.we are dealing with somebody who looks like Friar Tuck. I see him
:20:02. > :20:15.running over the road time and time again.
:20:16. > :20:23.These might not be the uniforms you would expect to see in a police
:20:24. > :20:28.station in Birmingham but these officers are a key part of this
:20:29. > :20:30.operation. They are working alongside British police in this
:20:31. > :20:38.week-long initiative targeting cross-border crime. Today we are
:20:39. > :20:45.joint by two officers. One from Romania and one from Poland. We are
:20:46. > :20:52.doing stop checks. Within minutes, the constable spots a hatchback he
:20:53. > :20:57.wants to investigate. It is a foreign registered number plate.
:20:58. > :21:01.Just going to see if it has insurance and what kind of license
:21:02. > :21:12.this individual is driving on as well. Where do you live? We will
:21:13. > :21:25.follow you. All the documents are in order and he is sent on his way.
:21:26. > :21:26.This is just one of as many as 30,000 foreign registered vehicles
:21:27. > :21:28.on UK roads at any one time. This operation is about helping police to
:21:29. > :21:32.identify those being driven here illegally or being used by
:21:33. > :21:37.criminals. It is about targeting criminality and not the community.
:21:38. > :21:40.Most people who come over want to have a better life. I want to earn
:21:41. > :21:49.money and pay their taxes and support their families at home. The
:21:50. > :21:54.team are still out searching for any vehicles from European countries.
:21:55. > :22:08.They spot a car with Romanian plates and go to investigate. Is it your
:22:09. > :22:11.car? My cousin's car. This is where the cooperation between forces
:22:12. > :22:18.really pays off. They step into question the driver in his own
:22:19. > :22:30.language. Then a quick call to his colleagues in Romania reveals this
:22:31. > :22:33.driver should not be on the road. This vehicle has no insurance so
:22:34. > :22:40.this man is committing offences over here. The officers also doubt
:22:41. > :22:46.whether his licence is genuine. This does not look real. You are under
:22:47. > :22:52.arrest on suspicion of having a forged document. Basically I don't
:22:53. > :22:58.believe that license is real and you are arrested for no insurance as
:22:59. > :23:03.well. It goes to show how well this works because we cannot clarify if
:23:04. > :23:07.he has or has not got insurance. If these officers were not here, he
:23:08. > :23:12.probably would be still driving around on the roads with no
:23:13. > :23:16.insurance. Although the police dropped any allegations the driver
:23:17. > :23:24.had faked documents he was then found guilty and fined for driving
:23:25. > :23:27.with no licence and no insurance. The operation has been hugely
:23:28. > :23:34.successful. We have stopped over 3500 vehicles and just short of 200
:23:35. > :23:39.arrests in a five-day operation and targeting those criminals was passed
:23:40. > :23:45.of the objective of this particular operation. Superintendent Paul Casey
:23:46. > :23:52.has come to joiners. Staggering statistics in that film. Huge
:23:53. > :23:58.success? It was. What was incredible was not only the volume of vehicles
:23:59. > :24:05.we stopped, but the 370 vehicles we seized, arrests, and also what was
:24:06. > :24:11.important and part of the main object of this, 1100 new pieces of
:24:12. > :24:18.intelligence we obtained involving foreign national and organised crime
:24:19. > :24:23.groups. There was an excavator worth about ?160,000 and cigarettes. If
:24:24. > :24:31.you have not got those off the streets, they could have been
:24:32. > :24:36.dangerous? This was a public health concern, who knows what was
:24:37. > :24:41.contained in those cigarettes. Why so vital you are working with
:24:42. > :24:45.colleagues from Eastern Europe? We had colleagues from Romania,
:24:46. > :24:50.Lithuania and Poland and it is about sharing intelligence and getting
:24:51. > :24:54.that information and translating it into activities on the ground. All
:24:55. > :25:00.44 forces in the UK took part in this. Intelligence is a word you are
:25:01. > :25:08.using over and over again, it wasn't just about stop and search? No, it
:25:09. > :25:13.is about tackling criminality and not the community. It is important
:25:14. > :25:16.we have intelligence behind everything we can do to maximise
:25:17. > :25:20.results. It is not just weapons or drugs
:25:21. > :25:24.criminals will go to great lengths to get across borders, the trade in
:25:25. > :25:30.species is big business to traffickers. But pioneering
:25:31. > :25:34.scientists are using cutting edge techniques to hold wildlife
:25:35. > :25:41.criminals. One of those scientists is Dr Natasha de Vere. What is this
:25:42. > :25:47.project you are working on? Fighting wildlife crime using bar-coding. We
:25:48. > :25:56.can use it to identify part of animals from Tony pieces. Poaching
:25:57. > :26:05.is a massive issue. We can see some elephants and some of the elements
:26:06. > :26:10.-- animals you want to protect? In Africa in 2013, 20,000 elephants
:26:11. > :26:15.were poached. It is not sustainable, at the birth rate is lower than the
:26:16. > :26:18.amount being killed. We can see some of the ivory being made into
:26:19. > :26:27.furniture or something like that, but some people think animals have
:26:28. > :26:34.bizarre medical qualities? Rhino horns, tiger bones, people think it
:26:35. > :26:41.has properties that kills cancer. It doesn't, it has no value, apart from
:26:42. > :26:47.on the animal. You only need a small sample of these animals or plants to
:26:48. > :26:52.extract DNA. These are some of the samples but you think they are big?
:26:53. > :26:58.You really do need a tiny, tiny fragments and you can get DNA to
:26:59. > :27:03.identify. You could use this with border control if people are trying
:27:04. > :27:08.to smuggle out something that is round-up and not obvious. They can
:27:09. > :27:12.test it and match it up and see if it is endangered from that? The key
:27:13. > :27:22.thing is to have a reference database. You take the plants and
:27:23. > :27:31.animals that you know, take an unknown sample, match it and make an
:27:32. > :27:40.identification. So far, where have you been? Been to Kenya. Not long
:27:41. > :27:42.back from Kenya. This is with the guys in Kenya. They are trained
:27:43. > :27:44.scientists and we go out and work out protocols that can be used in a
:27:45. > :27:48.court of law. Now they can do that on their own and you can leave them
:27:49. > :27:54.to it now they are trained? That is correct. Going to Mexico on Saturday
:27:55. > :27:58.so that will be the next couple of weeks. Then those countries will be
:27:59. > :28:05.carrying on the process over the coming years. It is a fantastic
:28:06. > :28:10.project. For now, let's go to Sian in the West Midlands.
:28:11. > :28:19.We are looking at the work of NABIS in taking guns off the streets. This
:28:20. > :28:24.is in the armoury and that is why this location has to be kept top
:28:25. > :28:32.secret. There are 1500 weapons in here from handguns to rifles. We can
:28:33. > :28:37.find out more about the work of NABIS, by Detective Chief
:28:38. > :28:45.Superintendent Iain O'Brien. What were you doing here? It is critical
:28:46. > :28:50.for policing, it helps an investigating officer to understand
:28:51. > :28:53.if the gun has been used previously in crime. We gain intelligence from
:28:54. > :29:01.that examination which tells as if the gun can be linked to other crime
:29:02. > :29:11.scenes, which is pivotal when you are making decisions. And we see
:29:12. > :29:14.trends at NABIS from doing those examinations and we can understand
:29:15. > :29:15.whether we need to change legislation or influence legislation
:29:16. > :29:20.with the government. These ones have an interesting story? This is a 1911
:29:21. > :29:25.Saint Etty and revolver. A weapon like this was used during the
:29:26. > :29:27.disorders in Birmingham in 2011 and was seized as part of the
:29:28. > :29:34.investigation into the shooting of the helicopter in the West Midlands
:29:35. > :29:40.Police area. It is an anti-but a lethal weapon. You are talking about
:29:41. > :29:46.changes into legislation, and it will be tightened up even further? A
:29:47. > :29:52.trend we have identified is antique guns have been used by criminals.
:29:53. > :29:59.Antique collecting of firearms is a legitimate pastime. But those self
:30:00. > :30:02.loading pistols used in the First World War, that is the modern
:30:03. > :30:06.version and there is very little difference between those weapons and
:30:07. > :30:13.that is the dilemma. It has been fascinating. Many of the weapons
:30:14. > :30:22.have come from different routes, and some of you believe have been found
:30:23. > :30:25.in houses, heirlooms dating back to the Second World War is and the
:30:26. > :30:31.families have found them and taken them down to the local police
:30:32. > :30:34.station. That is the past, now let's head to the future and talk to Simon
:30:35. > :30:54.about our 3-D gun. How are things going? The barrel has just finished
:30:55. > :30:58.printing. And these can be incredibly dangerous, and illegal.
:30:59. > :31:04.We have some filming showing a test-firing. Talkers through what
:31:05. > :31:09.happened. That one was produced in a way that someone might do if they
:31:10. > :31:12.had a printer at home, and when the trigger was pulled, the end of the
:31:13. > :31:17.barrel exploded and parts went everywhere. That would be dangerous
:31:18. > :31:21.to the person holding the gun. Thank you for showing us that this
:31:22. > :31:24.morning. Even though these are plastic, they can be incredibly
:31:25. > :31:26.dangerous, and they need to be detected. We will be looking at that
:31:27. > :31:29.later. Now would you recognise a man with
:31:30. > :31:32.a distinctive haircut? Police believe it's key to
:31:33. > :31:41.tracking down a serial mugger. For a long time, I have thought
:31:42. > :31:50.about him, I have seen him in my mind. To pick on elderly ladies like
:31:51. > :31:58.this is despicable. Jean lives in Coventry, and at 84 years old, is
:31:59. > :32:03.both active and independent. Early in March this year, she was on her
:32:04. > :32:08.way to get her hair done as she did every month. Because it was such a
:32:09. > :32:15.lovely day, I decided to walk to the headdresses. Always the same
:32:16. > :32:22.hairdresser. I have been going there for 20 years. I came out of there
:32:23. > :32:28.about one o'clock. Leaving the hair dresser, Jean walked back along a
:32:29. > :32:32.stretch of pavement shielded from the road by trees. It was very
:32:33. > :32:36.quiet. Sometimes there are people in their gardens, but there were no
:32:37. > :32:41.people about at the time. I didn't see anyone until someone just
:32:42. > :32:48.suddenly pounced. Without warning, her handbag was snatched. It was
:32:49. > :32:58.such a shock, suddenly someone grabbed my bag off my shoulder. I
:32:59. > :33:06.just screamed, no, no! And away he had gone. He was seen running from
:33:07. > :33:12.the scene, rifling through the bag. Items were discarded as he ran from
:33:13. > :33:19.the scene. Gene is not alone. Police believe the same man is responsible
:33:20. > :33:23.for seven similar attacks. All of these crimes took place between 10am
:33:24. > :33:29.and 1pm in a tight geographic grouping around that area of
:33:30. > :33:32.Coventry. The crimes all had a massive impact on the victims as a
:33:33. > :33:38.result of them being elderly victims, the oldest was 89. The
:33:39. > :33:42.victims of this Munger have been left to deal with the shock and pick
:33:43. > :33:47.up the pieces. I couldn't get into my own house because the keys were
:33:48. > :33:50.in the bag that he had stolen. I had to have the locks changed
:33:51. > :33:58.immediately on the door. Cancel my mobile phone. My bus pass was in
:33:59. > :34:02.there, my driving licence. So much trouble that it causes you. If only
:34:03. > :34:07.these people realised what they are doing. Jean's daughter Tracy has
:34:08. > :34:13.seen just how much the attack has affected her mum. She came and
:34:14. > :34:18.stayed with us that evening and for a few evenings after that, because
:34:19. > :34:22.she was quite shaken by it all. For a long time, I have thought about
:34:23. > :34:29.it, thought about him, seen him in my mind. I could see him running
:34:30. > :34:32.across the road. Over and over again. Police are looking for a man
:34:33. > :34:39.with a very distinctive and pronounced bald patch. The hair has
:34:40. > :34:42.been described as quite short, dark brown or black, and balding around
:34:43. > :34:49.the crown of the head, similar as one witness describes to a Friar
:34:50. > :34:53.Tuck hairstyle. Gene is still coming to terms with what happened to her.
:34:54. > :34:57.This is the last thing I would have expected walking along the footpath,
:34:58. > :35:05.almost home. I hadn't seen anyone lurking about, but he had obviously
:35:06. > :35:08.seen me. If they could catch him, I would feel safer for my mum and
:35:09. > :35:15.anybody else elderly around the area. He was choosing elderly
:35:16. > :35:22.ladies, easy pickings. I hope that he gets his comeuppance.
:35:23. > :35:25.And I'm joined now by Detective Inspector Gareth Mason, who has
:35:26. > :35:33.You're confident that the same person carried out these attacks?
:35:34. > :35:38.It is unusual to have robberies in this area, and based on the fact
:35:39. > :35:41.that it is lone females, all targeted at the same time of day,
:35:42. > :35:46.all with the descriptions matching, suggested is the same offender. And
:35:47. > :35:51.you think he could be local? Absolutely. The way that the
:35:52. > :35:58.offender has moved as described by the witnesses, tight geographic
:35:59. > :36:04.location, same kind of day, all suggest is local. He has been
:36:05. > :36:10.described as white, in his 30s, five foot eight. His hair is short and
:36:11. > :36:15.dark, balding around the crown, and it has been described as looking
:36:16. > :36:19.like Friar Tuck. That is pretty distinctive. Do you think he could
:36:20. > :36:22.strike again? There has been no offence since the beginning of
:36:23. > :36:29.March, and hopefully that will carry on, but some witnesses described him
:36:30. > :36:33.as having an appearance like a drug or alcohol addict, so he made a
:36:34. > :36:37.chaotic life and may strike again. Thank you very much.
:36:38. > :36:39.Now I'm joined by DC Jolene Podmore from Gwent Police who needs
:36:40. > :36:42.your help to stop a very cheeky car thief.
:36:43. > :36:45.Now this car thief has got a very specific way of working, hasn't he?
:36:46. > :37:00.He turns up at garages and asks to test drive a car.
:37:01. > :37:11.It is usually a garage, they attend as a couple and speak to the owner.
:37:12. > :37:13.It's usually an Audi, Golf, BMW or Mercedes he asks to drive.
:37:14. > :37:17.He gives false ID to get the garage to let him test drive the car
:37:18. > :37:22.before then driving off and neither he or the car is seen again.
:37:23. > :37:33.They are typically high-value cars. Yes, that's right. And on one
:37:34. > :37:36.occasion, the audacity is unbelievable, Wattie Atchley did.
:37:37. > :37:45.Tell me about that. Slightly different on this one. They arrived
:37:46. > :37:58.at a garage and asked to test drive an Audi. They went for a very short
:37:59. > :38:02.test drive. Then the male hands back the key to a garage owner, but it is
:38:03. > :38:07.actually a false key, he switches them. The garage owner goes out into
:38:08. > :38:14.his office, but an hour later, they come back and drive the car away.
:38:15. > :38:19.They have been caught on CCTV. This is the fellow you want to identify.
:38:20. > :38:32.This is the mail we want to identify and locate. He is approximately six
:38:33. > :38:38.foot tall, in his late 30s. He and the woman with him both have very
:38:39. > :38:43.strong Welsh Valley accidents. And we have an image of the woman as
:38:44. > :38:48.well. This is her. She is in her mid-20s, quite a bit younger. She
:38:49. > :38:56.has dark hair, and again, a strong Welsh Valley accident. And it is not
:38:57. > :39:00.just a small area, this is all over. You are advising garage owners to be
:39:01. > :39:03.on the lookout and to get in touch as well. That's right. Thank you
:39:04. > :39:10.very much for joining us. Well, if you know who this brazen
:39:11. > :39:14.duo are, then you know what to do. Get in touch using the numbers
:39:15. > :39:16.on screen. Or you can call Crimestoppers
:39:17. > :39:33.anonymously on 0800 555 111. We saw that 3-D gun being created,
:39:34. > :39:39.and even though it is plastic, it has to be detected. And the
:39:40. > :39:43.technology for that has been developed here at NABIS. You have
:39:44. > :39:48.brought all of the kits today, and we have four volunteers who have
:39:49. > :39:51.agreed to take part. One of them is carrying a plastic gun, and we are
:39:52. > :39:59.going to test and find out which one very shortly. But first of all, talk
:40:00. > :40:01.is through the kit. It is a radar system that was developed in
:40:02. > :40:07.conjunction with the Metropolitan Police Service. They wanted a stand
:40:08. > :40:11.of gun detector. This is probably the first capability of the type. It
:40:12. > :40:13.works rather like the radar gun using the police using on the
:40:14. > :40:18.streets when they are measuring the speed of cars. It sends a very low
:40:19. > :40:22.powered beam of microwaves towards the target, the person you are
:40:23. > :40:25.trying to screen, looks for the reflections and analyses them on the
:40:26. > :40:32.computer for what it perceives are either threat items, guns,
:40:33. > :40:35.improvised explosive device is, and it tries to reject things like
:40:36. > :40:42.mobile phones and keys because every body has those. It is try to work
:40:43. > :40:46.out whether it is threat or no threat. An impressive piece of kit,
:40:47. > :40:49.and it can see through clothes. Let's have a look at it in action,
:40:50. > :40:55.and talkers through what is happening here. We need to find out
:40:56. > :40:58.which person is carrying the gun. It is interesting though, we can see
:40:59. > :41:06.the images on the screen as well as the gun can slowly check out each
:41:07. > :41:11.person here. The radar beam is overlaid on top of a normal image,
:41:12. > :41:19.see you can see wave screening. It can see through the clothing. The
:41:20. > :41:24.image can't, obviously. We can try to identify where there is a likely
:41:25. > :41:29.threat. And no danger for anybody there. If you are worried about
:41:30. > :41:32.mobile phones come you shouldn't be. This is thousands of times less in
:41:33. > :41:37.terms of the power it outputs than a mobile phone. It is barely
:41:38. > :41:43.detectable. We saw it turn red there. Can the person in the grey
:41:44. > :41:52.suit with the pink tie step forward, please. And are you carrying the
:41:53. > :41:56.gun? Yes. Let's have a look. The technology in action. Thank you all
:41:57. > :42:01.for taking part, and thank you for explaining it.
:42:02. > :42:10.Russell brought in, who police want to it speak to, police are following
:42:11. > :42:15.up a positive lead. And another one of our Faces, wanted in connection
:42:16. > :42:18.with a distraction burglary, great information about him this morning.
:42:19. > :42:25.Plus you remain remember last week that we showed you footage of a lady
:42:26. > :42:28.in a wheelchair who was burgled at a department store. Positive sounding
:42:29. > :42:30.new leads from that case. Thank you to every single one of you who has
:42:31. > :42:33.got in touch. Now, Sian, where are you
:42:34. > :42:36.and the team heading to next? Rav, tomorrow takes me back home as
:42:37. > :42:39.we join Wales' biggest police force. I'll be in South Wales finding
:42:40. > :42:44.out how emergency crews are being hindered by the very
:42:45. > :42:52.people they are trying to help. And there'll be more fraudsters
:42:53. > :42:59.caught in the act on BBC One in an hour,
:43:00. > :43:01.stay tuned for Claimed and Shamed. If you want to find out how you can
:43:02. > :43:05.help with any of the crimes on today's programme,
:43:06. > :43:06.head to the website. Finally, let's take one last look
:43:07. > :43:08.at those Wanted Faces. Do you recogonise anyone
:43:09. > :43:10.in our rogues gallery? We're getting good results
:43:11. > :43:14.already on this year's roadshow. We are about to find out whether
:43:15. > :43:58.they can cook. You're going to love it.
:43:59. > :44:02.Smashed it. Yum-yum-yum.