ST launches four 5-MP image sensors
STMicroelectronics introduces a new family of 5-megapixel (MP) CMOS image sensors: the VD1943, VB1943, VD5943, and VB5943. These advanced BrightSense sensors accelerate the development of vision applications across a variety of industries, including industrial automation for machine and robotic vision, advanced security including biometric identification and traffic management, and smart retail applications such as inventory management and automated checkout.
Suited for high-speed automated manufacturing processes and object tracking, the new sensors provide hybrid global and rolling shutter modes, enabling developers to optimize image capture for their specific applications. This delivers motion-artifact-free video capture (global shutter), and low noise, high detail-imaging (rolling shutter).
Featuring a compact 2.25-µm pixel and advanced 3D stacking, the sensors deliver high image quality in a small footprint. The sensors feature a die size of 5.76 × 4.46 mm and a package size of 10.3 × 8.9 mm with an industry-leading 73% pixel array to die surface ratio. This enables integration into space-constrained embedded vision systems without compromising performance, ST said.
Delivering high-quality imaging in challenging environments, these sensors leverage backside illumination and capacitive deep trench isolation pixel technologies to enhance sensitivity and sharpness, particularly in low lighting conditions. Single-frame on-chip high dynamic range improves detail visibility in both bright and dark areas.
The RGB-IR variants feature on chip RGB-IR separation, eliminating additional components and simplifying system design. This capability supports multiple output patterns, including 5-MP RGB-NIR 4×4, 5-MP RGB Bayer, 1.27-MP NIR subsampling, and 5-MP NIR smart upscale, with independent exposure times and instant output pattern switching. This reduces costs while maintaining full 5-MP resolution for both color and infrared imaging, ST said.
The four sensors are currently available for evaluation and sampling, with mass production scheduled for February 2026. Documentation, evaluation kits, and product samples are available.
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