Patryk Laurent on Privacy-Safe Video AI and Turning Cameras into Smart Sensors

In this conversation, Patryk Laurent, CEO of Scenera, discusses how the company uses edge-based video AI to improve safety, security, and building operations in commercial real estate. He explains how Scenera turns existing cameras into intelligent sensors that can detect events such as falls, loitering, fence climbing, unattended objects, and spills without relying on constant video streaming to the cloud. The discussion also covers edge computing, privacy, AI model tuning, event-based foundational models, low-energy AI, neuromorphic hardware, and the future of smarter, more private IoT systems. Takeaways Scenera provides a cloud-managed edge AI platform for safety, security, and building intelligence. The system uses existing cameras to detect important events and send real-time alerts. Edge processing helps reduce the need to stream full video feeds to the cloud. Video AI can identify events such as falls, loitering, fence climbing, and unattended objects. Pose detection can help identify human actions while protecting personal identity. Scenera uses analytics to find trends across time, weather, traffic, and building activity. The company fine-tunes models for specific buildings to improve accuracy. Scenera is developing an event-based foundational model for reasoning about activity in physical spaces. Low-energy AI and neuromorphic hardware could move more intelligence directly into cameras. Privacy will be central to the future of camera-based sensors and IoT systems. Today's guest, Patryk Laurent, can be found at: Website: https://pakl.net/ LinkedIn:   / patryk-laurent   Your host, Hunter Jensen, can be found online at: Website: https://www.barefootsolutions.com/ LinkedIn:   / hunterjensen   Keywords Edge AI, Video AI, Computer Vision, Smart Cameras, Building Operations, Commercial Real Estate, Safety, Security, Fall Detection, Loitering Detection, Object Detection, Pose Detection, Data Lake, Edge Computing, Cloud Managed Edge Platform, Azure, IoT Edge, MLflow, Foundational Models, Event-Based AI, Neuromorphic Hardware, Low-Energy AI, Internet of Things, Privacy, Smart Buildings