Integrated Image Processing Systems for Industrial Edge AI Applications

Vision Components integrates semiconductor and processor technologies into standardized camera modules for embedded vision infrastructures. These system solutions are aimed at industrial image processing to streamline the development of data-driven analysis and monitoring systems.

Operational Challenges and Collaboration
The implementation of industrial machine vision requires seamless coordination between image acquisition, data processing, and system integration. To simplify complex hardware architectures, Vision Components combines its own interface components with computing units and sensor technology from technology partners such as MediaTek, Sony, and Onsemi. This technological alignment enables system integrators to incorporate high-performance camera systems into their automation and robotics equipment without the need for in-depth hardware development.

Technical Solution and Responsibilities
The technical architecture includes the VC EvoCam system camera, which is controlled by an edge AI processor with a computing power of 3.2 TOPS and operates on a customized Debian Linux operating system. In addition, Vision Components develops high-resolution MIPI camera modules. The module featuring global shutter sensor technology delivers a resolution of 24.5 megapixels at 22 frames per second. Another configuration utilizes a rolling shutter sensor with 20 megapixels and increased near-infrared sensitivity. The infrastructure is complemented by an accessory system that integrates trigger adapters, FPGA accelerators for the MIPI data stream, as well as coaxial and GMSL2 interfaces for transmission distances of up to ten meters.

Deployment and Implementation
The system architecture will be presented at the technical exhibition of the European Conference on Computer Vision (ECCV), taking place from September 10 to 12, 2026, at the Malmömässan exhibition center in Malmö, Sweden. During implementation, engineers configure the computing units either with onboard sensors or via wired remote-head sensors, thereby adapting the hardware to the mechanical specifications of the target systems. Vision Components provides the source code of the drivers for all implemented camera modules to accelerate software-side integration.




Applications and Use Cases
These optical acquisition systems are primarily used in edge AI and IoT applications that require rapid data analysis directly at the point of origin. Specific technical use cases include the visual control of humanoid robots as well as algorithms for industrial object and person detection. The high sensitivity and low power requirements of the sensors stabilize optical analysis even under demanding industrial lighting conditions.

Results and Expected Impacts
By utilizing these pre-configured system components, developers reduce the effort required for prototyping and optimize the transition of embedded vision solutions into series production. The combination of integrated signal processing and adaptable sensor modules ensures the functional efficiency of the image processing workflows at the system level and minimizes the integration steps required within industrial production networks.

Edited by Maria Brueva, Induportals Editor – adapted by AI.

www.vision-components.com