IMX264 and IMX568 both belong to the Sony Pregius family of image sensors, which feature global-shutter pixels. Both sensors are renowned for their sensitivity, low
Urban traffic enforcement faces scale pressure as vehicle density rises and manual monitoring struggles to keep pace. ALPR-based violation ticketing systems address this gap through
Edge AI vision systems execute inference and data processing directly on embedded devices deployed outside controlled environments. Any compromise during startup can expose firmware, models,
Urban intersections have become complex, unpredictable zones where vehicles, cyclists, and pedestrians intersect within seconds. While signal-based systems handle timing, they rarely perceive intent or
Autonomous edge AI vision systems depend on synchronized inputs from cameras, LiDAR, radar, IMU, and GNSS to interpret motion and depth in real time. On
Modern traffic enforcement relies on vision-led systems that interpret full road scenes in real time. Traditional inductive loops used to focus on vehicle presence, which
Drones now support continuous, real-time monitoring across large or hard-to-reach areas such as coastlines, forests, and dense urban zones. Hence, it’s important for surveillance cameras
Wrong-way driving remains one of the highest-risk events on highways and ramps, driven by impaired driving, poor visibility, and entry confusion. Traditional monitoring methods struggle
As vision programs move from pilots to real deployments, teams face mounting pressure around sustained throughput, thermal behavior, and system stability. Fragmented hardware stacks often
As robotics and mobility projects expand, teams are struggling with scattered components, driver work, and long integration cycles. Fully integrated AI vision boxes have risen