Hardware
Cameras with inference built into the device
Smart cameras run detection, classification or analytics on board, sending metadata or events rather than continuous video streams. They reduce network load and can improve privacy by keeping imagery local.
Representative platforms with the details engineering and procurement teams shortlist on.
Quad HD camera that fuses deep-learning object classification with 61 GHz radar data on the device.
4K box camera with an on-board NPU for object and licence plate recognition and 120 dB wide dynamic range.
Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.
Chip manufacturer
Designs the Snapdragon X platform for Windows PCs and edge clients, pairing Oryon CPU cores, Adreno graphics and the Hexagon NPU. Qualcomm also owns the Edge Impulse edge MLOps platform.
San Diego, California, United States
Chip manufacturer
Fabless SoC designer whose RK35xx application processors combine Arm CPU clusters, Mali graphics and an integrated NPU, widely used in single-board computers, panel devices and edge video products.
Fuzhou, China
Edge AI startup
Fabless company developing discrete edge AI processors, M.2 and PCIe accelerator modules and the Hailo AI Software Suite, spanning classic vision workloads and, with Hailo-10H, generative models.
Tel Aviv, Israel
Chip manufacturer
Produces the IMX500 intelligent vision sensor, a stacked CMOS image sensor with an integrated AI processing block and on-chip memory, supported by the AITRIOS edge AI sensing platform.
Atsugi, Kanagawa, Japan
Computer vision company
Network video manufacturer producing cameras that run deep-learning analytics on the device through AXIS Object Analytics and the open AXIS Camera Application Platform.
Lund, Sweden
Computer vision company
Video surveillance manufacturer whose cameras include an on-board NPU for object detection, classification and licence plate recognition, with AI-assisted noise and bandwidth reduction.
Seongnam, South Korea