ICAM-500

Industrial AI camera embedded with NVIDIA Jetson Nano

Accelerates the development and deployment of cloud-to-edge vision AI applications

The Advantech ICAM-500 places NVIDIA Jetson Nano AI computing modules inside a compact industrial camera system. This 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 interface, which also allows ICAM-500 to perform low-latency and high-bandwidth image acquisition. These features improve the efficiency of on-site AI inference, creating an excellent solution for edge AI applications – like AI automated optical inspection, AI optical character recognition, and object recognition at the edge – that require real-time responsiveness.

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 speedy deployment within vision systems.

All-in-one solution reduces vision system installation and maintenance effort

ICAM-500 is a highly integrated industrial AI camera equipped with programmable variable focus lenses, LED illumination, and SONY industrial-grade image sensors. These features reduce the effort required in installation and maintenance. The camera’s generic settings, lighting, and one-meter inspection distance satisfy most vision application requirements.

In addition, the built-in buttons on ICAM-500 allow the user to take snapshots or customise their functions. Users just need to connect ICAM-500 and control the system using LAN to implement vision systems.