Ark Vision Systems and Syslogic have partnered to deliver an integrated Edge AI hardware solution. GMSL2 cameras connect seamlessly with Syslogic's rugged embedded computers for industrial automation, agriculture, and mobility applications.
Harsh environments demand rugged electronics. Ark Vision Systems and Syslogic are two companies specializing in hardware designed for demanding industrial applications. Ark Vision Systems develops high-performance GMSL2 cameras for machine vision, while Syslogic manufactures rugged embedded computers built to operate reliably under extreme environmental conditions.
The two companies are now combining their expertise. Ark Vision Systems' ArkCam Velos camera series integrates seamlessly with Syslogic's rugged embedded computers, giving customers a perfectly matched hardware platform for modern Edge AI applications.
"Our cameras and Syslogic's rugged computers complement each other perfectly," says Sven Kühmichel, Managing Director of Ark Vision Systems. "Customers receive a deployment-ready platform for AI-powered machine vision and sensor fusion – from data acquisition to real-time local processing."
The integrated solution significantly simplifies AI system development. Instead of spending valuable engineering time integrating sensors with the computing platform, developers can focus on building their application.
Image data captured by the cameras is processed directly on the embedded computer. AI inference takes place locally at the edge without first sending data to the cloud. This minimizes latency and enables real-time decision-making.
In addition to cameras, the platform can integrate LiDAR, radar, GNSS, and other sensors as required. Combining multiple sensor inputs provides the foundation for advanced sensor fusion and autonomous systems.
Syslogic's embedded computers are powered by NVIDIA technology. Integrated NVIDIA Jetson modules deliver the compute performance required for AI inference, image processing, and deep learning directly at the edge. Syslogic's flagship rugged computer, the RML A5AGX, is based on the new NVIDIA® Jetson Thor™ platform and delivers up to 2,070 FP4 TFLOPS of AI computing performance.
Reliable high-speed data transmission is another essential element of any Edge AI solution. Gigabit Multimedia Serial Link 2 (GMSL2) plays a central role by enabling high-resolution image data to be transmitted over long distances with minimal latency. Ark Vision Systems' GMSL2 cameras also provide outstanding immunity to electromagnetic interference, making them well suited for harsh industrial environments.
The technology supports multiple synchronized cameras, simplifying the implementation of multi-stream applications and 360-degree vision systems. GMSL technology has become a widely adopted standard for advanced driver assistance systems (ADAS), camera monitoring systems, and autonomous vehicles.
Edge AI enables a wide range of applications, including autonomous agricultural vehicles, construction machinery, mobile robots, automated guided vehicles (AGVs), autonomous mobile robots (AMRs), and intelligent surveillance systems.
Both Ark Vision Systems' cameras and Syslogic's embedded computers are purpose-built for industrial environments. The hardware withstands shock, vibration, and mechanical stress while operating reliably under extreme temperatures, dust, humidity, and moisture.
"By combining high-performance sensing with a rugged AI computing platform, we provide our customers with a hardware foundation that enables them to deploy sophisticated Edge AI applications quickly and reliably," says Michael Jung, Product Manager at Syslogic.
The joint hardware solution from Ark Vision Systems and Syslogic is available immediately for evaluation and system integration projects.
