All-in-one AI camera accelerates industrial AI vision applications
Embedded with an Nvidia Jetson Nano, Advantech’s ICAM-500 is an edge industrial AI camera which combines an industrial-grade Sony IMX 296 image sensor, advanced LED lighting, and a variable focus lens with acquisition and AI computing capabilities.
The Advantech ICAM-500 places Nvidia Jetson Nano AI computing modules inside a compact industrial camera system. It combines image acquisition and AI inference functionality within the same system, while reducing the latency caused by the distance between IP cameras, cloud and AI inference systems. ICAM-500 has an FPGA-based trigger input, lighting strobe out and MIPI, which also allow ICAM-500 to perform low latency and high bandwidth image acquisition. Features to improve the efficiency of on-site AI inference, include AI automated optical inspection, AI optical character recognition and object recognition at the edge.
Advantech’s ICAM-500 also supports the Nvidia DeepStream SDK. AI developers can use C/C++, Python or Graph Composer, Nvidia’s low code tool, to quickly integrate pre-trained models for deployment within vision systems.
The camera’s generic settings, lighting, and one metre inspection distance satisfy most vision application requirements, said Advantech. Built-in buttons allow the user to take snapshots or customise functions. Users can connect ICAM-500 and control the system using LAN to implement vision systems. A USB interface provides the ability to connect solutions for communication modules for Wi-Fi and 5G applications. This lowers the barriers to entry for AI software developers, said Advantech.
Advantech ICAM-500 provides board support package support that enables customers to easily integrate software and hardware.
The Advantech ICAM-500 is available now.
