Vadzo Imaging launches 2.3 MP global shutter USB 3.2 Gen 2×2 camera

By AI, Created 11:56 AM UTC, May 28, 2026, /AGP/ – Vadzo Imaging has launched the Vajra-235CGS, a 2.3 MP color global shutter camera built for motion-critical machine vision, robotics, and embedded AI systems. The camera combines an Onsemi AR0235 HyperLux SG sensor with an Infineon EZ-USB FX20 controller to stream video at up to 20 Gbps over USB-C.

Why it matters: - The Vajra-235CGS is designed for applications where motion blur, timing errors, and bandwidth limits can undermine inspection, guidance, and automation. - The camera’s 20 Gbps USB 3.2 Gen 2×2 link gives OEMs a higher-throughput option for real-time image capture over a single USB-C connection. - The global shutter sensor targets use cases that need distortion-free imaging in robotics, industrial inspection, scanning, and embedded AI.

What happened: - Vadzo Imaging announced the Vajra-235CGS on May 29, 2026. - The camera is a 2.3 MP color global shutter USB 3.2 Gen 2×2 UVC camera. - The design uses Onsemi’s AR0235 HyperLux SG sensor and Infineon’s EZ-USB FX20 controller. - Vadzo Imaging says the camera is available for OEM evaluation and production deployment.

The details: - The AR0235 HyperLux SG sensor uses a 1/2.8-inch format with 1920 × 1200 active pixels. - The sensor’s global shutter architecture captures fast-moving scenes without rolling distortion. - The camera streams dual-lane image data at up to 20 Gbps through a single USB-C interface. - An onboard image signal processor handles demosaicing, automatic exposure, white balance adjustment, and noise reduction. - The camera supports dynamic ROI selection, pixel binning, windowing, and frame timing control. - The Vajra-235CGS is fully UVC compliant and works across Windows, Linux, and embedded platforms. - Vadzo Imaging also offers the VISPA ARC SDK for deeper control of sensor settings and streaming pipelines. - The SDK supports C, C++, C#, and Python APIs. - The SDK includes tools for configuration management, firmware updates, and system diagnostics. - The SDK supports dynamic ROIs, ROI-based auto exposure, hardware trigger control, and flash synchronization.

Between the lines: - The launch reflects a push to move more image processing onto the camera itself, which can reduce host workload in embedded systems. - The combination of UVC support and SDK-based control is aimed at making the camera both easy to deploy and configurable for OEMs. - Vadzo Imaging is positioning the product for environments with mixed lighting, fast motion, and tight timing requirements, where standard cameras often struggle. - The company is also signaling broader use beyond industrial automation, including smart retail, medical instrumentation, structured-light 3D imaging, drones, and edge AI devices.

What’s next: - Vadzo Imaging said engineering samples, technical documentation, and integration support are available now. - The company is offering evaluation units, customization options, and design-in assistance for robotics, industrial automation, smart retail, and embedded vision projects. - Interested customers can request pricing or samples through Vadzo Imaging. - The company also shared social channels on LinkedIn, YouTube, and X.

The bottom line: - Vadzo Imaging is betting that high-bandwidth USB-C, global shutter imaging, and on-camera processing will simplify deployment for motion-sensitive vision systems.