With ultra-low latency imaging, multi-sensor fusion, and real-time AI acceleration, the solutions promise faster decision-making and smarter performance across next-generation edge applications.
E-con Systems, a global leader in embedded vision, has unveiled a comprehensive portfolio of AI-powered vision and compute solutions purpose-built for the newly launched NVIDIA Jetson Thor platform. This strategic expansion combines high-performance cameras, advanced imaging capabilities, and a robust edge compute unit, enabling robotics, humanoids, autonomous mobile robots (AMRs), and next-generation AI systems to achieve real-time, high-resolution imaging and faster decision-making at the edge.
The key features are:
- Direct Camera-over-Ethernet (CoE) transfer to GPU memory
- Near-zero CPU utilization for efficiency
- Faster response times in critical applications
- Seamless real-time operation for edge AI systems
At the center of this launch is the NVIDIA Jetson Thor, delivering up to 2070 FP4 TFLOPS of AI compute power. Leveraging Thor’s capabilities, e-con Systems’ solutions offer multi-sensor fusion, ultra-low latency, and resolutions up to 20MP, accelerating innovation across industrial, medical, automotive, and robotics sectors. The camera portfolio spans multiple interface options, including See3CAM USB cameras for rapid prototyping, RouteCAM GigE Ethernet cameras with ONVIF compliance, and 10G Holoscan-ready cameras powered by e-con’s proprietary TintE ISP for ultra-low latency imaging.
The support extends to a wide array of leading sensors such as Sony IMX715, IMX568, IMX900, ISX031, onsemi AR0234, and AR2020, ensuring compatibility for diverse AI-driven applications. Complementing the camera portfolio is a compact, production-ready Edge Compute Unit (ECU) powered by NVIDIA Jetson Thor. Purpose-built for field deployment, this compute box supports real-time reasoning and sensor processing, making it ideal for dynamic environments where autonomous robotics, humanoids, and other AI-enabled machines operate.
For developers and businesses, the advantages are clear: unmatched imaging performance, faster development cycles, and optimized compute resource allocation that frees GPU capacity for AI-driven tasks. This translates into smarter, safer, and more efficient machines that can be rapidly deployed across industries. According to Prabu Kumar Kesavan, CTO at e-con Systems, the combination of the company’s imaging portfolio with NVIDIA Jetson Thor “empowers customers to push the boundaries of robotics and AI at the edge.”
