Video surveillance has come a long way from simple CCTV setups. Today’s businesses demand more – smarter analytics, enhanced security, and seamless scalability. As organisations adopt AI and automation across their operations, video management systems (VMS) face new challenges: How to keep video surveillance scalable and easy to manage? Can AI analytics like face recognition or behaviour detection be integrated without breaking the budget? Is my current system prepared for modern security risks? These questions are not hypothetical. They represent real obstacles businesses face when managing video surveillance systems. Solving them requires innovative thinking, flexible tools, and a smarter approach to how systems are designed and operated. The Shift to Smarter Surveillance Traditional video surveillance systems often fail to meet the needs of dynamic, modern environments. Whether it’s a […]
Original web page at www.artificialintelligence-news.com
