The most revealing surveillance story this year is not about model accuracy, but about backlash. In Toronto’s Rosedale, a proposed private camera network framed as a virtual gated community sparked debate over control, data retention, and whether such systems should … Read More
Face recognition
AI Video Analytics for Workforce Tracking
Visibility Gaps How do you actually know where your workforce is during the day – especially across multiple sites? For many operations managers and team leads, visibility is still limited. Manual reports, delayed updates, or inconsistent logs create blind spots … Read More
Why Privacy in Video Intelligence Matters
Video analytics and computer vision are moving into daily use. Leaders want real-time detection with fewer false alarms. Security teams want anomaly detection that surfaces the one clip that matters. Policymakers want safety without constant surveillance. In February 2026, Chico … Read More
Why Facial Recognition Needs Review
A Retail Misidentification In early 2026, a London shopper was wrongly flagged by a facial recognition system while shopping at Sainsbury’s. Store staff, acting on an alert generated through video surveillance analytics software, asked him to leave the premises. He … Read More
Facial Recognition in Healthcare: A Comprehensive Analysis
Curious how the facial recognition and video‑analytics ideas in this article translate into practice? Explore them in a safe sandbox and pressure‑test governance approaches with DeepXHub. Create a free account. I. Executive Summary Imagine a healthcare system that’s smarter, safer, … Read More
Computer Vision for Deep Fake detection
Deep Fake technology based consumer products become popular lately. They are currently being used mainly for entertainment purposes in mass market applications. For example, through deep fake web and mobile applications users can replace actor’s face with their own face … Read More
