2MP Color Global Shutter Camera Featuring the Onsemi^® AR0235 HyperLux^™ SG Sensor and Infineon EZ-USB^™ FX20 with 20 Gbps USB 3.2 Gen 2×2 Streaming

FORT WORTH, TX / ACCESS Newswire / March 17, 2026 / Vadzo Imaging today announced the launch of the Vajra-235CGS, a high-speed 2.3 MP Color Onsemi AR0235 global shutter USB 3.2 Gen 2×2 UVC camera designed for motion-critical machine vision and embedded AI systems. Powered by the Onsemi^® AR0235 HyperLux^™ SG image sensor and the Infineon EZ-USB^™ FX20 controller, the camera enables dual-lane 20 Gbps image streaming over a single USB-C interface, providing significantly higher throughput than conventional USB vision cameras. This architecture allows developers to capture and process high-speed image data with minimal latency and consistent bandwidth, making it well suited for robotics, industrial inspection, and real-time automation environments.

The AR0235 HyperLux^™ SG sensor features a 1/2.8-inch 2.3 MP global shutter architecture (1920 × 1200) optimized for accurate capture of fast-moving scenes at high frame rates while maintaining low noise and excellent image clarity. The sensor's advanced pixel design ensures artifact-free motion capture without rolling distortion, which is essential for robotics guidance, barcode scanning, and automated quality inspection. Combined with onboard image processing, dynamic ROI control, and full UVC plug-and-play compatibility across Windows, Linux, and embedded platforms, the Vajra-235CGS enables rapid integration into next-generation vision systems ranging from industrial automation and smart retail to AI-powered embedded devices.

Core Capabilities of the Vajra-235CGS AR0235 Color Global Shutter USB 3.2 Gen 2x2 Camera

Ultra-High-Bandwidth USB 3.2 Gen 2×2 Interface - The Vajra-235CGS leverages Vadzo's dual-lane USB 3.2 Gen 2×2 architecture, powered by the Infineon EZ-USB^™ FX20 controller, to deliver up to 20 Gbps image streaming over a single USB-C interface. This high-throughput design enables reliable transmission of high-speed image data with low latency and consistent bandwidth, supporting motion-critical machine vision, robotics, and industrial automation systems.

2.3 MP HyperLux^™ SG Global Shutter Imaging - At the heart of the camera is the Onsemi^® AR0235 HyperLux^™ SG image sensor, featuring a 1/2.8-inch optical format with 1920 × 1200 active pixels. The sensor's advanced global shutter architecture captures fast-moving scenes without motion distortion, ensuring accurate object detection and measurement in high-speed industrial applications. The sensor is also capable of high-frame-rate capture of moving scenes, enabling reliable vision performance in robotics and automation environments.

High Image Fidelity in Dynamic Lighting - The HyperLux^™ SG sensor architecture delivers low noise performance, high linear full-well capacity, and excellent global shutter efficiency, producing clear and stable images in both bright and low-light conditions. These characteristics make the camera well suited for environments such as factory automation, scanning systems, and smart devices where lighting conditions can vary.

Advanced Sensor Controls for Application Optimization - The Vajra-235CGS provides flexible sensor-level configuration capabilities, including dynamic Region-of-Interest (ROI) selection, pixel binning, windowing, and frame timing control. These features allow developers to increase frame rates, optimize bandwidth usage, and focus processing on critical regions within a scene.

Integrated Image Signal Processing - An onboard image signal processor (ISP) performs the complete color processing pipeline, including demosaicing, automatic exposure, white balance adjustment, and noise reduction. By executing these functions on-camera, the system reduces dependency on host processing resources and improves overall end-to-end imaging efficiency for embedded vision platforms.

Flexible Software Integration - The camera is fully UVC compliant, enabling plug-and-play operation across Windows, Linux, and embedded platforms. Developers can also leverage the Vadzo VISPA ARC SDK for deeper control over sensor configuration, image parameters, and streaming pipelines using C, C++, C#, and Python APIs.

VISPA ARC SDK for Developer Integration

The Vadzo VISPA ARC SDK provides developers with a powerful software framework to configure, control, and integrate the Vajra-235CGS camera into industrial and embedded vision systems. Designed for rapid system integration and flexible deployment, the SDK enables direct access to camera parameters, streaming controls, and sensor configuration for high-performance imaging applications.

Through VISPA ARC, developers can configure dynamic Regions of Interest (ROI) to optimize field of view and increase processing efficiency. The SDK also supports ROI-based Auto Exposure, enabling stable and consistent image acquisition even in scenes with uneven illumination.

For motion-sensitive applications such as robotics, industrial inspection, and automated scanning, the SDK provides hardware trigger control and flash synchronization, ensuring accurate timing for image capture. Developers can further access advanced sensor functions including binning, windowing, and frame timing adjustments, allowing the camera to be tuned for specific performance requirements.

The VISPA ARC SDK also includes tools for camera configuration management, firmware updates, and system diagnostics, simplifying deployment and lifecycle management for OEM devices.

Supported Programming Languages: C, C++, C#, Python
Supported Platforms: Windows, Linux, and embedded systems

Target Applications

The Vajra-235CGS global shutter camera is designed for vision systems that require accurate motion capture, reliable high-speed imaging, and low-latency data transfer. Typical applications include:

Industrial Automation and Machine Vision - High-speed inspection, robotic guidance, conveyor monitoring, automated quality control, and precision measurement systems where distortion-free motion capture is critical.

Autonomous Robots and Mobile Platforms - Vision systems for AGVs, AMRs, and robotic arms, supporting navigation, obstacle detection, pick-and-place operations, and visual servoing in dynamic environments.

Scanning and Smart Retail Systems - Barcode and QR code scanners, smart checkout systems, ID verification devices, and intelligent kiosks requiring fast and accurate image acquisition.

3D Imaging and Structured-Light Systems - Depth sensing, metrology, and structured-light scanning systems used for dimensional measurement and precision inspection.

Medical and Scientific Instrumentation - Digital microscopes, laboratory automation systems, and diagnostic imaging devices that require consistent high-quality image capture.

Embedded Vision and Edge AI Devices - Compact vision modules for AI inference, drones, smart infrastructure, and always-on monitoring systems operating in space- or power-constrained environments.

Availability

The Vajra-235CGS color global shutter USB 3.2 Gen 2×2 camera is available for OEM evaluation and production deployment. Engineering samples, technical documentation, and integration support are available through Vadzo Imaging.

Customers can request evaluation units, customization options, and design-in assistance to accelerate development of robotics, industrial automation, smart retail, and embedded vision systems.

For technical inquiries, pricing, or sample requests, visit www.vadzoimaging.com or contact the Vadzo Imaging sales team.

About Vadzo Imaging

Vadzo Imaging designs and manufactures embedded vision cameras and imaging platforms for OEMs building next-generation intelligent systems. The company develops camera solutions across USB, MIPI, GigE, Wi-Fi, and SerDes interfaces, supporting applications in industrial automation, robotics, healthcare devices, smart infrastructure, and edge AI.

Beyond camera hardware, Vadzo provides end-to-end imaging expertise, including sensor integration, ISP tuning, firmware development, and software tools that help customers accelerate product development and deploy reliable vision systems at scale.

Media Contact

Alwin Vincent
Vadzo Imaging
Phone: +1 817-678-2139
Email: alwin@vadzoimaging.com
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SOURCE: Vadzo Imaging