VizioSense
Adel Lablack is a seasoned expert in AI and computer vision, currently serving as Lead AI & Computer Vision at VizioSense since 2024, where responsibilities include team management, development of AI models and algorithms, and deployment of embedded AI applications for urban and business operations. With over a decade of experience, Adel has also worked as a Computer Vision / Deep Learning Expert at VidAP since 2011, providing innovative solutions for video analysis, including a mission for BMW Group. Prior roles include Expert en Vision par Ordinateur at Teledyne Flir, where complex transportation problems were addressed, and teaching positions at TELECOM Lille1, contributing significantly to education in data mining and advanced programming. Early career experience includes R&D engineering at CNRS, focused on gaze estimation and action recognition research. Adel holds a Doctorate in Computer Science with a specialization in computer vision from Université des Sciences et Technologies de Lille.
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VizioSense
Measuring Flows. Preserving Privacy. VizioSense helps cities & companies optimizing their spaces and flows with ethical camera-based sensors and AI. We build monitoring & counting solutions that respect privacy-by-design. Our plug-and-play "sensor" embeds an edge-AI chip enabling on-device computer vision to count people or items. It sends only the counting information to the cloud. It has no capability to stream videos. Products: VizioPark: parking monitoring application VizioCount: vehicle flow and pedestrian counting application VizioCrowd: density management application