Caught on camera! Despite the increase of CCTV and cameras everywhere, thieves are even more bold and brazen. What steps have you taken to prevent theft from happening to you? And are you prepared if it does?
Danny Ramon speaks on the recent uptick in pilferage across the US and what you can do about it.
Great SITREP Danny.
Keep up the good work at Overhaul.
I look forward to chatting with you to exchange experiences and ideas.
Kind Regards,
Efrain Rodriguez USAF Vet.
CGO AI27
Predictive Intelligence
efrodriguez@ai27.com
The chain of custody is critical for making arrests and earning convictions. That's why security cameras, alarm systems and video doorbells play an important role, but are not enough. Valuables must be tagged, serial numbers recorded, and warning signs posted. #MyPropertyID
The chain of custody is critical for making arrests and earning convictions. That's why security cameras, alarm systems and video doorbells play an important role, but are not enough. Valuables must be tagged, serial numbers recorded, and warning signs posted. #MyPropertyID
Does your business have a supply yard, fleet vehicles, or other valuable property located on your premises? What if your camera system could protect those assets with proactive countermeasures before a theft occurs? With #ProVisual by Alarm Protection Services (APS), we offer more than just high-definition video surveillance. Powered by the CHeKT Visual Security Bridge, our camera systems utilize AI analytics, interactive talk-down, lights, sirens, and verified alarms monitored by live operators in our central station to protect your business. With property and vehicle theft on the rise, advanced video security is the best solution for preventing criminal activity before it happens, ensuring your peace of mind.
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In Case You Missed It 🚨
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I'm going to try to find the time to write about how we in the NYPD used gunshot detection not only to catch criminals, but to prevent people from being victimized. But for now I just want to write about this particular article.
I agree with Anthony Tasso. There are so many things wrong with the analysis of the efficacy of SoundThinking (formerly ShotSpotter) in this article. I too was skeptical of the system prior to the analysis we did in the NYPD.
The analysis listed in this article fails basic data analysis standards. You can't judge how well the system works by how this article defines "confirmed" (found evidence) shootings. There's a good chance that there is no evidence or the evidence is hard/was not found. In this type of analysis you're trying to prove a shooting incident occurred when you are not positive it occurred. You'll never know the real answer.
The best way we found to test the efficacy of the system were actual confirmed shootings/shots fired (witness confirms, evidence found, victim) where the system should have alerted. Here we are starting with a known, "we are 100% sure this many shootings should have been captured by the system, of those incidents how many were captured by the system?" In this method you are using a real number of "should have captured" as the baseline and comparing it to how many of those incidents it did capture. A true accounting of the accuracy.
Then you set the agency benchmark, the key performance indicator. "The system has to alert us to more than Y% of these known confirmed incidents or else it fails."
As an addition, (stealing a line from Anthony Tasso here) with gunfire detection tech "hearing is believing." In the NYPD every officer has a Department phone, on that phone is a situational awareness app (which I designed btw) that alerts them to all the incidents (911, ShotSpotter, etc) in their selected area. Because we were all skeptics, we included a file of the suspected gunfire with the ShotSpotter alert. The file is 1 or more 7 second audio clips of the sound that triggered the alert (along with a history of the area, department data, etc). The Officer responding can listen to the sound that triggered the event in near real time (maybe a minute or two delayed) to determine if they believe it's gunfire or not. Additionally, there is a dedicated person in Headquarters, not to mention the Desk Officer and many people in the each precinct/boro, listening as well and radoing the Officers in the field if they believe it's legitimate. These alerts do not waste Officers time.
I've personally listened to A LOT of these files (probably thousands), and you can tell pretty much instantly if it's gunfire or not. We gave the Officer the ability, while responding to the alert, to listen and decide if it's gunfire or not, and change their response and tactics accordingly. These alerts do not waste Officers time.
Deputy Chief, NYPD (Ret) - Consultant, Public Safety Operations and Technology Leader
I find this to be a bit misleading, although I can understand how people outside of the law enforcement community can arrive at this conclusion.
Many gunshot detection activations simply cannot be verified. Maybe a revolver was used. Maybe the shooter picked up the brass. Maybe the shells were kicked down a sewer or run over by a passing vehicle. Maybe the casing landed in heavy brush. Even with best efforts and intentions, evidence of gunfire often goes undiscovered. The fact is, that there is a large “gray” area between gunfire detections that can be confirmed, and confirmed gunfire incidents that weren’t detected by the detection system. Assigning that unknown “gray” area to either success rates or failure rates is a mistake. Better data needs to be collected and analyzed to determine the true ratio between founded and unfounded detections.
Gunshot detection isn’t perfect. There are many false positives and also a good number of false negatives. But there are also many successful cases where police are notified of founded gunfire that wouldn’t have otherwise been reported. And there are also circumstances where police are able to get to a scene quicker because of the automated gunshot detection notifications, ensuring an apprehension of a suspect and removal of an illegal firearm from the street.
I wasn’t always a believer. But I have seen first hand enough successful outcomes to change my mind and acknowledge the value of gunshot detection.
#lawenforcement#technology#ai#gunshotdetectionhttps://lnkd.in/d43pYeqg
🚨 ARREST MADE 🚨
In this compelling video, watch as a suspicious individual on a bike scouts a parking lot at night. He targets a parked car, breaks in, and the camera captures every moment as he quickly places stolen items into his bag.
🚨 Live remote agents attempt to warn him off with lights, 2-way sirens and verbal warnings to leave the area. He ignores the remote agent and attempts to make his escape.
👮 A police officer comes back to the car to return the stolen bike pump to its rightful owner, having successfully apprehended the thief.
💪 This powerful demonstration showcases how advanced surveillance systems and real-time monitoring effectively deter and prevent criminal activities, ensuring the safety and security of your belongings.
I find this to be a bit misleading, although I can understand how people outside of the law enforcement community can arrive at this conclusion.
Many gunshot detection activations simply cannot be verified. Maybe a revolver was used. Maybe the shooter picked up the brass. Maybe the shells were kicked down a sewer or run over by a passing vehicle. Maybe the casing landed in heavy brush. Even with best efforts and intentions, evidence of gunfire often goes undiscovered. The fact is, that there is a large “gray” area between gunfire detections that can be confirmed, and confirmed gunfire incidents that weren’t detected by the detection system. Assigning that unknown “gray” area to either success rates or failure rates is a mistake. Better data needs to be collected and analyzed to determine the true ratio between founded and unfounded detections.
Gunshot detection isn’t perfect. There are many false positives and also a good number of false negatives. But there are also many successful cases where police are notified of founded gunfire that wouldn’t have otherwise been reported. And there are also circumstances where police are able to get to a scene quicker because of the automated gunshot detection notifications, ensuring an apprehension of a suspect and removal of an illegal firearm from the street.
I wasn’t always a believer. But I have seen first hand enough successful outcomes to change my mind and acknowledge the value of gunshot detection.
#lawenforcement#technology#ai#gunshotdetectionhttps://lnkd.in/d43pYeqg
Your customers don't just want to capture crimes on video - THEY WANT TO PREVENT CRIME FROM HAPPENING.
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These powerful features can be triggered when events occur in the field of view, instantly alerting you that a crime is happening. And the deterrent features - flashing lights, recorded messages - get triggered to scare criminals from your property.
Watch the video:
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Over 2200 vehicles were stolen in Hamilton in the past year, equating to 6 per day!
That's according to new police data, highlighting the importance of taking these steps to secure your car:
•Park smart: Choose secure, well-lit areas whenever possible.
•Don't tempt thieves: Remove all valuables from your car, or keep them out of sight.
•Invest in deterrents: Consider installing an alarm, steering wheel lock, or wheel clamp.
•Consider CCTV: If you have a designated parking spot, installing a security camera can add an extra layer of protection.
Always report a stolen vehicle immediately to the police as well as any suspicious behaviour https://buff.ly/3OJmyln
CCTV Solution Can't prevent any unwanted thing like theft or robbery we are only able to see after mis-happening .
Means CCTV solution does not directly stop it's virtually ....But Access Control Solution directly prevents theft and robbery.
we need to understand this thing and also update to end user
USAF Veteran 🦅 AI27 Chief Growth Officer (CGO) Florida Trucking Association (FTA) Member
3moGreat SITREP Danny. Keep up the good work at Overhaul. I look forward to chatting with you to exchange experiences and ideas. Kind Regards, Efrain Rodriguez USAF Vet. CGO AI27 Predictive Intelligence efrodriguez@ai27.com