HomeElectronics NewsEmbedded Camera For AI-Powered Imaging

Embedded Camera For AI-Powered Imaging

The embedded camera offers AI integration for imaging, suitable for industrial automation, robotics, and medical applications with real-time object detection.

e-CAM85_CUHSB - 4K Sony Starvis IMX715 Low-light Camera for NVIDIA Holoscan & Lattice HSB Board
e-CAM85_CUHSB – 4K Sony Starvis IMX715 Low-light Camera for NVIDIA Holoscan & Lattice HSB Board

Recently, e-con Systems have unveiled its new embedded camera, designed for seamless integration with the NVIDIA Holoscan platform. Holoscan is a real-time AI sensor processing platform that helps developers build end-to-end edge solutions. The camera is ideal for industrial automation, robotics, and medical imaging applications, offering high-speed, low-latency imaging using e-con’s proprietary TintE Image Signal Processor (ISP) for real-time AI-based object detection and recognition.

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Additionally, the NVIDIA Holoscan Sensor Bridge powered FPGA board further simplifies setup and offloads image processing tasks. It supports low-latency, high-speed sensor processing, transmitting data to the GPU via Ethernet. This efficient data transfer optimizes GPU resources for AI inference, boosting overall system performance. These high-resolution, high-performance cameras deliver exceptional image quality at high frame rates, making them suitable for industrial and medical applications.

Leveraging the Holoscan SDK on the AGX Orin platform, e-con Systems offers optimized solutions for real-time AI applications, ensuring low latency, high throughput, and scalable sensor streaming.

The cameras integrate seamlessly with the Lattice Holoscan Sensor Bridge board using the MIPI CSI-2 interface for easy connectivity. With expertise in high-performance ISP technology and Lattice CertusPro-NX FPGAs, e-con Systems delivers reliable and efficient camera solutions for demanding use cases.

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Some of the key features of the embedded camera include:

  • Sensor: IMX715 from SONY® STARVIS
  • Focus Type: Fixed Focus
  • Resolution: 8MP
  • Chroma: Color
  • Shutter Type: Electronic Rolling Shutter
  • Optical Format: 1/1.8″
  • Output Format: RAW 10/12-bit
  • Pixel Size: 1.45 μm x 1.45 μm

“The launch of our new embedded camera for NVIDIA Holoscan at GTC 2025 is a huge step forward for us. Our focus is on creating AI-powered imaging solutions that solve real-world problems: helping modernize farming, enabling robots to navigate complex environments, improving accuracy in medical imaging, and more. After all, we are committed to giving our customers the imaging technology they need to move faster, work smarter, and stay ahead in an AI-driven world,” said Gomathi Sankar, Head of Industrial Business Unit at e-con Systems.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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