Video security incidents

bkm watch
https://www.youtube.com/channel/UCcaO2ktnuTT8cH2pyVtrQvQ

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A Yolo AI on Raspberry pi detects any type of weapon that the business owner is threatened with and automatically raises the alarm. Populate the area with hundreds of Raspberrys that will stream a live video over cell networks to indicate the escape route of assailants. The bandwidth requirements are very modest allowing non intrusive usage of nearby fiber via the inbuilt rasberry wify. The escape vehicle is unlikely to stop at red robots, allowing the Yolo system to flag it.

Any broke second year computer science student will be able to customize Yolo for your particular artificial intelligence project. The functionality has been so black boxed that with even rudimentary Linux and c skills a military grade project is construed.

A neural net can combine the audio to make an automated decision that a kidnapping or carjacking is taking place. Neural training is done on the Unreal gaming engine where real video is lacking. There might not be enough YouTube videos of people jumping over walls, but endless variations is possible with a gaming engine. Having virtual-world representations of real-world scenes makes it relatively easy to generate training data for deep learning networks because once the virtual scenes are created, they can be duplicated and manipulated in any number of ways.

If they kill the kidnap victim, well they would have killed him in anycase. Always fight back and if you die, you would have died any way. A Tracked vehicle robot drags a Net_gun spiked net across the road bringing the vehicle to a standstill and engaging it with a PID controld,   Gimbal,   PepperBall. A Yolo controlled ground robot or uav engages first with plain paintball, hopefully the intruder starts shooting with a firearm, allowing return fire with two centimetre rubber or nylon balls, just one shot off these will incapacitate. Under SA law you always have to use proportional force. Security companies protecting the copper loads on trucks from Zambia wear a bodycam to prove that when they shot with a pepper ball gun into the backs of assailants, it was because they turned their backs at that moment. the angled plates of the inspector tactical bot(picture right side) prevents bullet penetration, especially if made out of titanium (see Tracked vehicle).

In South Africa a mob of three hundred people marched to an area manager of the post office and assaulted him. Had he been aware that 300 people were walking down the street he could have locked his gates in time. Deploying Yolo to automatically count the average pedestrian traffic and alert when this count is exceeded is trivial.


 * https://www.youtube.com/watch?v=C6CiYVHtpPw Armed robbery of family arriving home. Neural net behavior analysis sends an automated alert. For example program Yolo to only send an alert when it detects people around a vehicle, without the doors opening first and driver climbing out and combine this with some Facial Recognition cloud based app like Faceter.  Wouldn't a Tracked vehicle with turret, Yolo tracking pedestrians outside the residence be at least some sort of a deterrent? Obviously for safety reasons it would only be fitted with a Net gun. Yes, ofcourse the robot will probably get stolen, this is why you need to be able to build them yourself with a Lathe after watching the videos from Machine design.
 * https://www.youtube.com/watch?v=E_bQtXcNjp0 Car jacking attempt
 * https://www.youtube.com/watch?v=MZNgdODgu-0 another car jacking
 * https://www.youtube.com/watch?v=5svF6X2Gbdw car jacking.
 * https://www.youtube.com/watch?v=yLnqfpmMjLA car pins down from behind. Drive into a cordon of Tracked vehicle robots that will engage with nylon and PepperBall.
 * https://www.youtube.com/watch?v=QT8PGCWG0mY Inside job robbery the gate was manually operated and left open: automate the gate.
 * https://www.youtube.com/watch?v=JefTJodtOsM kidnapping people and then forcing them to withdraw cash at 3min. 7:50min the classic maneuver of pinning an exiting vehicle down. Yolo can easily send an automated alert by noting people disengaging from the second vehicle. Stack a few streaming Raspberry pi's around the exit with Yolo scanning the road for approaching vehicles. If possible reverse back into the driveway so that existing is easier.
 * https://www.youtube.com/watch?v=8BkUfQB-rtA
 * https://www.youtube.com/watch?v=NCDTClmES30
 * https://www.youtube.com/watch?v=JU1kU1DpfFE Yolo draws slow moving bounding box around car, identifies make and model with a Titan X Nvidia on Faceter cloud. Initially a reduced dataset Yolo quickly identifies that some sort of vehicle is at the gate, a larger dataset in the cloud classifies the vehicle. Intruder steps out of car, combine the two events, a stationary bounding box around car and person climbing out(bounding box around him) for a crude behavior analysis event. The time it took them loitering and staking out was enough for a response. AutomaticGateOpeners z-Axis mechanism prevents forced opening of a gate. Gate openers are made to open gates, not to secure them. Around 1:30,the burglar removes the plastic gate opener covering, shorts something and effortlessly opens the gate!. The public must be willing to pay and demand from manufactures an avoidance mechanism. Because people are not really willing to pay for proper security, the manufacturers gives the client what he wants: a cheap easily compromised system. The Yolo cloud Titan X detects any attempt at cutting through the gate with angle grinder or cutting torch. A raspberry pi doesn't have the Cuda cores processing speed to detect all possible means of intrusion, it is used primarily for person and vehicle detection.
 * https://www.youtube.com/watch?v=J8x2PnVeZaM at 2:30 burglars easily break open a gate opener with the leverage a steel rod provides. Have an unarmed(don't kit it out with a Flame thrower!) Tracked vehicle UGV steer automatically to the gate to address the intruders and audibly inform them that security is on its way, in most cases this will be enough to prevent a break in.
 * https://www.youtube.com/watch?v=J8x2PnVeZa https://campbellwindowfilm.com/security-windows-doors/3m-window-film-commercial-building-security/#Riot%20Glass

https://www.news24.com/Video/SouthAfrica/News/watch-shots-fired-at-guard-during-bedfordview-hijacking-20171002 In this video a women is ejected and her car taken. The Yolo system does realtime face and object recognition counting how many people are in the car and who they are. If it detects a person other than the designated driver or additional occupants, indicating a kidnapping it cuts the engine at a busy robot intersection using stored GPS coordinates, reducing the chance that the owner is executed out of anger. Crime can easily be stopped, it needs an awareness of the free technology available. In high risk situations such as farming, the bodycam continually MeshNetworking streams the surroundings to a Jetson GPU. Only on Yolo detecting a person will it relay the situation to the Faceter behavior analysis cloud network, reducing considerably the bandwidth usage and GPU computing costs.