New Trends in Image Sensing Technology: Pixel Binning and Sensitivity Improvement
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With the rapid development of embedded vision and machine vision, pixel binning is becoming one of the key technologies to solve the problem of image quality under low-light conditions. This innovative approach simulates larger pixel sizes by merging signals from small pixels, thereby improving sensor sensitivity and achieving higher image quality.
How pixel merging solves the limitations of small pixels
Although small pixels can capture more details, they perform poorly in low-light environments. Pixel merging, on the other hand, enhances light-sensing performance by combining the signals of neighboring pixels while retaining the advantages of a miniaturized design. Example:
Sinoseen SNS-USB2160-v1.0: 1.4µm pixel size, focusing on small size detail capture.
D694P1-A2-E: Pixel size 3µm, offering higher sensitivity for HDR applications.
Practical application benefits of pixel merging
Increased sensitivity: merged pixels allow the sensor to capture more light, making it suitable for night vision and low-light environments.
Design flexibility: Supports multiple merging modes such as 2×2 and 3×3, allowing resolution and pixel size to be adjusted as needed.
Miniaturization and cost-effectiveness: High performance without the need for larger sensors, controlling product size and cost.
Wide range of applications: From security surveillance to astrophotography and even biomedical imaging, pixel merging technology shines.
Sinoseen's expertise
As a specialist in embedded camera modules, Sinoseen offers a wide range of high-performance camera modules covering USB 3.0, MIPI and GMSL interfaces to meet a wide variety of needs from automatic license plate recognition to digital microscopy. To learn more, please visit the Sinoseen website.
We look forward to working with you to customize the optimal camera module solution for your project.
