He built his own Flock-style camera to track police. The police didn’t like it
Peel Regional Police visited his home after two videos, and the project has been viewed more than 1.6 million times on YouTube.
7 Articles
7 Articles
Canadian software engineer and YouTuber Anthony Sistili was visited by two police officers after he created a license plate recognition camera programmed to only track police cars. He said the officers came to his home on September 20, and he described the conversation in a video posted on October 7. The incident was reported by Tom’s Hardware. Sistili has shown off his development in several TikTok videos. The device uses the same type of techn…
Canadian YouTuber builds 'Flock-like' camera to exclusively track police vehicles, gets a visit from police — officers visit his home to express privacy concerns...
A Canadian YouTuber built a camera that tracks only police vehicles. Police visited him to raise concerns about officers’ privacy and safety. He said their concerns echo public worries about widespread license plate surveillance. ORIGINAL LINK: https://www.tomshardware.com/tech-industry/cyber-security/canadian-youtuber-builds-flock-like-camera-to-exclusively-track-police-vehicles-officers-visit-his-home-to-express-privacy-concerns
Canadian YouTuber builds 'Flock-like' camera to exclusively track police vehicles — officers visit his home to express privacy concerns
Canadian YouTuber Anthony Sistilli says police questioned him after he built an ALPR camera designed to track police vehicles, leading to an ironic discussion over the privacy risks of mass license-plate surveillance.
A youtuber has replicated the Flock Safety surveillance, but the other way round: his cameras point to the police in his city. Shortly after, the officers returned the visit. For those who do not locate the matter: Flock Safety sells license plate reading cameras with AI to police and city halls, and presumes to deploy on their own official website. They have ended up in half a country, and with them the anger: neighbors who find out that their …
Coverage Details
Bias Distribution
- 67% of the sources lean Left
Factuality
To view factuality data please Upgrade to Premium
