HDR imaging significantly enhances the performance of embedded vision systems, notably in environments with challenging lighting conditions. This advanced imaging technology equips these systems with the capability to capture visuals that exhibit remarkable clarity and detail. The core of HDR lies in its ability to process a wide spectrum of light, from the brightest highlights to the darkest shadows, thus enabling cameras to accurately capture the full range of light in a scene.

On this episode of Embedded Insiders, we’re discussing why multi-camera synchronization is a key feature in cameras that enable industrial robotics, retail application, autonomous mobility, and more, with Mr. Maharajan Veerabahu, co-founder & vice president of product design services at e-con Systems.

Modern camera technologies and Artificial Intelligence (AI) ensure that pharmacy automation is an integral part of medical innovation that helps improve patient care. They guarantee that efficiency and accuracy are maintained throughout the entire pharmaceutical process.

e-con Systems released its NeduCAM25, a complete HD (65 fps) global shutter FPD-LINK III camera module built around onsemi's AR0234 sensor to photograph rapid moving items at 120 fps with the absence of any rolling shutter artifacts. The NeduCAM25 utilizes the FPD-LINK III interface with protected coaxial cable to efficiently transmit both power and data up to 15m away with low latency.

e-con Systems launched its NileCAM81_CUOAGX, a 4K HDR GMSL2 multi-camera solution for NVIDIA Jetson AGX Orin™ / AGX Xavier™ based on the half-inch AR0821 sensor from onsemi.

Syslogic and e-con Systems are members of the NVIDIA Jetson Partner Network. Syslogic offers robust embedded computers, e-con Systems specializes in innovative camera technology. Now the two companies have joined forces to advance computer vision.

One of the key aspects of Artificial Intelligence (AI) and Machine Learning (ML) applications is image processing and computer vision. With the rise in complexity and demand for AI and ML applications, it is important to develop efficient, cutting-edge tools for image processing and analytics of visual data.