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Introduction

The ZS-HLDS10 2M is a camera and image sensor manufactured by Zoomshot, specifically geared towards high-performance Machine Vision applications.

Applications

The ZS-HLDS10 2M is an ideal choice for Machine Vision systems, particularly in 3D measuring, intelligent transportation, unmanned aerial vehicles, and autonomous driving. The camera uses a CMOS image sensor with an extremely wide and clear image window for accurately capturing and interpreting complex 3D scenes. It also supports a variety of image signaling techniques to achieve superior image clarity, stability, and quality, even in the most challenging lighting conditions.

Features & Benefits

The ZS-HLDS10 2M camera is packed with features that make it especially well-suited for Machine Vision applications. It has a maximum resolution of 16 megapixels and offers a fast frame rate of 60fps. It also supports Super HDR (High Dynamic Range) which enables it to handle a wide range of image intensities, from the softest shadows to the brightest highlights. The camera also features a wide field-of-view of 166 degrees, along with auto gain and exposure control. It also offers low-light performance up to ISO of 100,000.

Working Principle

The ZS-HLDS10 2M uses a Photoelectric Transformation principle to capture and interpret 3D scenes. It combines traditional image sensing techniques with innovative algorithms and sensors to accurately capture, process, and interpret complex 3D scenes. The camera features a wide range of photoelectric sensors, including an image sensor, an IR (infrared) sensor, and depth-of-field sensors. All of these sensors are used in combination to create sharply detailed 3D images, accurately capturing all objects within the view of the camera.

Conclusion

The ZS-HLDS10 2M is a powerful camera and image sensor specifically designed for Machine Vision applications. It delivers high-performance image capturing and processing, even in challenging lighting conditions. It features a wide range of photoelectric sensors and advanced algorithms to accurately capture and interpret complex 3D scenes. Its wide field-of-view and high dynamic range enable it to capture sharp images in a variety of settings.

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