{"slug": "smarter-buildings-safer-occupants-intelligence-meets-privacy", "title": "Smarter Buildings, Safer Occupants: Intelligence Meets Privacy", "summary": "A new EE Times special report examines how AI-driven IoT sensors, ambient light harvesting, and edge AI are being deployed in building automation to enable real-time monitoring, predictive maintenance, and faster emergency response while preserving occupant privacy. The report draws on interviews with Axis Communications, e-peas, Infineon Technologies, Pimloc, Wireless Logic, and Insight SiP, plus researchers at the University of North Carolina at Charlotte, the Institute of Science Tokyo, and the Indian Institute of Technology Gandhinagar. Among the featured work, an LED-based wireless power alternative from the Institute of Science Tokyo uses adaptive optics and AI beam steering to charge indoor IoT devices at a distance of 5 meters, and UNC Charlotte researchers use edge AI to learn normal motion and flag anomalies for human review.", "body_md": "Personal safety and security allow no compromise. From access control and video surveillance to smoke and fire alarms, HVAC, and lighting, modern building automation systems are designed to optimize energy efficiency while safeguarding the health, safety, and security of occupants.\n\nIn this Special Report, we explore how ambient light harvesting is expanding into buildings and how advanced sensors and AI-driven IoT solutions enable real-time monitoring, predictive maintenance, and faster emergency response—without compromising individual privacy.\n\nWhat happens when sensors become ubiquitous? Can buildings harvest enough ambient energy to power their own sensors? Can buildings use light not just to illuminate spaces but also to power IoT devices, day and night? How can cameras improve safety without identifying individuals? Where should the intelligence reside: at the edge or in the cloud? How can increasingly connected building systems integrate without creating new security risks?\n\nTo answer these questions, this Special Report draws on interviews with companies such as Axis Communications, e-peas, Infineon Technologies, and Pimloc, as well as discussions with professors from the University of North Carolina at Charlotte, the Laboratory for Future Interdisciplinary Research of Science and Technology at the Institute of Science Tokyo, and the Indian Institute of Technology Gandhinagar. It also features contributions from Wireless Logic and Insight SiP.\n\n[View All](https://www.eetimes.com/category/sponsored-content/)\n\n**Ambient IoT: From Battery-Free Promise to Mass-Market Reality**\n\n*By [Rebecca Pool](https://www.eetimes.com/author/rebecca-pool/)*\n\nSurging investment, maturing tech, and emerging standards are pushing ambient IoT toward mainstream deployment.\n\n**Digital Keys and Radio Technology in Smart Buildings**\n\n*By [Nick Wood](https://www.eetimes.com/author/nick-wood/), Insight SiP*\n\nThe direction of travel seems clear enough: Digital keys are likely to replace physical ones entirely over time.\n\n**How Much Impact Will AI Have on IoT Software Engineering?**\n\n*By [Steve Bennett](https://www.eetimes.com/author/steve-bennett/), Wireless Logic*\n\nIn theory, AI is a surefire way to raise productivity in software engineering, but the reality may not be quite so cut-and-dried.\n\n[LEDs Push Wireless Power Further](https://www.eetimes.com/leds-push-wireless-power-further/)\n\n*By [Rebecca Pool](https://www.eetimes.com/author/rebecca-pool/)*\n\nAn LED alternative to laser wireless power transfer from the Institute of Science Tokyo uses adaptive optics and AI beam steering to charge indoor IoT devices 5 meters away.\n\n**Smarter Cameras Need More Than Edge AI to Protect Privacy**\n\n*By [Pat Brans](https://www.eetimes.com/author/pat-brans/)*\n\nAxis Communications and Pimloc show how masking, encryption, anonymization, and\n\ngovernance can protect privacy without destroying useful evidence.\n\n**The Security AI That Learns the Language of Movement**\n\n*By [Pat Brans](https://www.eetimes.com/author/pat-brans/)*\n\nUNC Charlotte researchers use edge AI to learn normal motion, predict what comes next, and flag anomalies for human review.\n\n**India Hardens Its Cyber Defenses**\n\n*By [Rebecca Pool](https://www.eetimes.com/author/rebecca-pool/)*\n\nAs cyberthreats target critical infrastructure and India’s online population tops 1 billion, digital resilience is now a national security priority.", "url": "https://wpnews.pro/news/smarter-buildings-safer-occupants-intelligence-meets-privacy", "canonical_source": "https://www.eetimes.com/smarter-buildings-safer-occupants-intelligence-meets-privacy/", "published_at": "2026-09-23 08:05:07+00:00", "updated_at": "2026-09-23 08:25:46.758621+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-products", "ai-infrastructure", "computer-vision", "ai-ethics"], "entities": ["EE Times", "Axis Communications", "e-peas", "Infineon Technologies", "Pimloc", "Wireless Logic", "Insight SiP", "University of North Carolina at Charlotte"], "alternates": {"html": "https://wpnews.pro/news/smarter-buildings-safer-occupants-intelligence-meets-privacy", "markdown": "https://wpnews.pro/news/smarter-buildings-safer-occupants-intelligence-meets-privacy.md", "text": "https://wpnews.pro/news/smarter-buildings-safer-occupants-intelligence-meets-privacy.txt", "jsonld": "https://wpnews.pro/news/smarter-buildings-safer-occupants-intelligence-meets-privacy.jsonld"}}