Its proprietary AI chips are designed to perform real-time video analysis with high energy efficiency, enabling deployment at the edge — from traffic intersections to metro stations and airports. These systems power large-scale facial recognition and anomaly detection infrastructure across Chinese cities, and are increasingly being adopted for urban planning and emergency response.

Intellifusion’s end-to-end smart city solutions combine algorithm optimization, sensor fusion, and cloud-edge hybrid architectures. Its software supports license plate recognition, behavioral tracking, and object detection, providing municipal leaders with actionable insights to improve city management, safety, and logistics.

The company actively collaborates with the University of Toronto and University College London — global leaders in computer vision and AI governance. These partnerships are exploring frontier research on ethical surveillance, adversarial image detection, and AI system transparency.

As the world’s cities grapple with digital transformation, Intellifusion is positioning itself as a critical partner in responsible AI deployment. Research exchange programs aim to improve the explainability, reliability, and civic integration of next-gen urban AI platforms.