Category: Industry applications
EU AI Act and CCTV analytics for surveillance
ai act: Understanding the Scope and Risk Categories The EU AI Act began as a proposal in 2021 and has evolved through 2024. It sets out a risk-based framework to regulate how AI is developed and deployed across the EU. The european commission led the initial draft. The draft aimed to regulate artificial intelligence with […]
AI compliance for GDPR-compliant AI surveillance
EU GDPR requirements for AI Video Surveillance The General Data Protection Regulation sets clear rules for AI used in video surveillance. First, gdpr requires that systems respect data minimization and purpose limitation under Article 5. Next, organizations must identify a lawful basis before they process personal data. For video surveillance this typically means explicit consent […]
AI security camera: explainable AI for CCTV
ai-powered cameras in video surveillance AI-powered cameras have changed how organisations monitor spaces, and they process enormous video volumes each day. AI and deep learning models run on gateways and servers, and they process terabytes of video footage daily, which creates scale challenges for people who must review events (Interpol review of digital evidence). The […]
Trustworthy AI for Video Surveillance
Trustworthy AI for Video Surveillance Trustworthy AI for Video Surveillance sets the tone for safe, transparent systems that protect people and property. Today, organisations want security that respects legal and ethical limits, and that delivers proven results. visionplatform.ai builds on this need by turning cameras and VMS systems into AI-assisted operational systems. Our platform keeps […]
Human-in-the-loop AI control rooms for AI governance
Importance of human oversight in human-in-the-loop AI control rooms Human oversight complements AI’s data processing by providing context, questioning anomalies, and applying ethical judgment. AI systems scan large volumes of data rapidly. Humans add situational awareness, and they check edge cases. First, AI detects patterns and raises an alert. Then, a trained operator evaluates the […]
AI-driven digital control room of the future for utilities
Control room Foundations in Modern Utility Networks The control room has evolved from a bank of dials and paper logs into a high‑speed, digital nerve centre for power, water and gas. Today a modernized control space must ingest SCADA feeds, smart meters and dense IoT telemetry to preserve supply and safety. For utilities, this evolution […]
AI-first control room architecture framework
ai-first architecture: core building blocks for modern ai control room The AI-first architecture movement reframes how operations are designed, and it places AI at the center of system thinking. In this article I describe an ai-first architecture that balances compute, data, and human workflows. First, we must create core building blocks that let systems learn […]
Smarter Autonomous Control Rooms with AI Agents
AI and automation in the control room: A purpose-built bridge to smarter operations Control rooms have evolved rapidly. First, simple consoles gave way to networked systems. Next, SCADA and VMS added telemetry and dashboards. Now, AI and purpose-built bridges connect legacy systems to new capabilities. As a result, control rooms become hubs for reasoning, not […]
Next Generation CCTV Analytics with AI Video Surveillance
next-generation cctv and ai: an overview of ai video analytics and video surveillance Next-generation CCTV adopts AI to move beyond passive recording. First, IP cameras stream network video that enables real-time analysis. Next, AI video analytics interpret scenes, tag objects, and raise an alert when patterns match risk criteria. For example, a security camera can […]
AI-powered control room 2025: future of AI in control rooms
AI in Control Rooms by 2025: Building a Resilient Ecosystem By 2025 the landscape for CONTROL ROOM operations will look noticeably different, and operators will rely on AI to keep systems resilient and responsive. Industry forecasts expect AI ADOPTION to expand rapidly, with a projected 25% CAGR through 2030 that signals growing investment and deployment […]
