Our next Webinar Wednesday topic—Recording Crime Scene Video, July 24th. We'll explore the use of video cameras to document crime scenes, searches, accidents, and disaster responses. https://lnkd.in/gTQTCCzm
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Caught on Camera: Shocking Public Assault Exposed! Join us as we delve into a gripping incident involving an aggressor caught on public surveillance. This video uncovers the shocking details of a confrontation and highlights the importance of being aware of your surroundings in public spaces. Don't miss this eye-opening exploration of societal dynamics! #PublicSafety #AggressorIncident #SurveillanceAwareness #SocialDynamics #PublicRecording #ViralVideo #StreetSafety #CitizenAwareness #RealLifeDrama #CaughtOnCamera
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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 #gunshotdetection https://lnkd.in/d43pYeqg
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Product Manager | Retired NYPD Lieutenant | Public Safety Technologist | Empowering Law Enforcement with Analytics
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.
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 #gunshotdetection https://lnkd.in/d43pYeqg
NYC Surveillance Tech on Shootings Gives False Alarms 87% of Time, Audit Finds
bloomberg.com
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Experienced Technical Support Consultant | 5+ years| Salesforce | Enthusiastic Learner | Aspiring Software Developer | In the Process of learning Web-Development and Networking | relocating to the USA 2025
Know your enemies? They know who you are. It's time to uncover who they are. Surveillance Watch is an interactive map revealing the intricate connections between surveillance companies, their funding sources and affiliations. https://lnkd.in/dUj2z3FX
Surveillance Watch: They Know Who You Are
surveillancewatch.io
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Don't let your home become a crime scene. Glass break detectors: the silent threat to burglars. Learn More: https://lnkd.in/eY2YrNHm #glassbreakdetector #alarmsystem #burglaryalarm #securitycamera #securitysysteminstallation #securitysolutions #safetyfirst #homesecurity #HomeSafety #asgsecurity
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This survey of Shotspotter (GDT) technology results will be misused to criticize deployments. https://lnkd.in/g5a9GeDH. Yet, the conclusions of the study are evident in this quote: "Agencies that highly prioritize increasing evidence collection and reducing unauthorized firearm discharges may consider dedicating necessary resources to acquire GDT. Agencies that prioritize the reduction of gun violence victimization, however, should consider whether resources are better used for solutions other than GDT." The technology is useful if agencies develop protocols to actually respond to the scene, look for and collect ballistic evidence, and interview nearby witnesses to the shootings. If the call merely results in a "drive-by" investigation, your agency is not utilizing this technology correctly. Chicago is now under fire not to renew it's contract. https://lnkd.in/gNfQKGz8 https://lnkd.in/g5a9GeDH
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Amid a nationwide reduction in traditional traffic enforcement, automated speed cameras can help tackle our country's speeding epidemic, which makes roads safer for everyone using them. GHSA CEO Jonathan Adkins spoke with NPR about the importance of this lifesaving technology and how to address key concerns: https://lnkd.in/grC7SPjv Learn more about the benefits of traffic safety cameras in our report with the support of State Farm: https://lnkd.in/ec6iUxb4
Eyes on the road: Automated speed cameras get a fresh look as traffic deaths mount
npr.org
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Being part of "something bigger." Being part of "something that makes a difference?" Being part of "something...That Saves Lives!" Omnilert is that something, for all three of the aforementioned items. When time is critical and lives are at stake, having the time to react in a positive way is paramount to the positive outcome. Visit us to learn more, www.Omnilert.com #analytics #gundetection #timecritical
With Omnilert Gun Detect's unique combination of detection, verification, activation and notification, first responders are given the gift of time in the event of an #ActiveShooter. These precious minutes can mean the difference between life and death. Chris Grollnek, Founder and Managing Principal of the Active Shooter Prevention Project, said it well in a recent news release from Omnilert. Read: https://hubs.ly/Q02ncV0b0
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What is GVPedia? GVPedia arms policymakers, advocates, and the public with facts and data to create evidence-based policy to reduce gun violence. GVPedia’s mission is to change the narrative around guns and counter the prevailing myths so that policy and decision-making are based on fact. It’s Facts About Firearm Policy Initiative, largest publicly available database of gun violence studies, Denver Accord, fact sheets and white papers, and data visualization give advocates, policymakers, and the public a roadmap to policy change that will reduce gun violence. Visit us at gvpedia.org and subscribe to our newsletter at https://lnkd.in/e5gq7yiU #gunviolenceresearch #gunviolenceawareness #gunviolenceprevention #gvp #armedwithfacts
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USCCA Certified Firearms Instructor | CEO Ophidian Tactical Solutions | 2A Advocate | US Navy Veteran | NAAGA | NRA
Dispelling Myths: The Truth about the 2nd Amendment and Modern Firearms https://lnkd.in/ezSWPZfe In this illuminating video, we embark on a journey to dispel myths surrounding the Second Amendment and modern firearms. Join us as we explore the historical context, legal intricacies, and the evolution of firearm technology. It's time to separate fact from fiction, fostering a nuanced understanding of the Second Amendment in the context of contemporary weaponry. Stay informed, challenge assumptions, and engage in a constructive conversation about the intersection of rights and technology. #SecondAmendment #FirearmMyths #ModernFirearms #concealedcarry #selfdefense
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