Canon Develops New CCTV CMOS Sensor Offers Better WDR, Auto Exposure, Improved AI performance.
Canon Develops New CCTV CMOS Sensor – Canon has developed a 1-inch, back-illuminated stacked CMOS sensor for video surveillance monitoring applications that achieves an effective pixel count of approximately 12.6 million pixels (4152 x 3024) and provides an industry-leading dynamic range of 148dB.
The new sensor divides the image into 736 areas and automatically determines the best exposure settings for each area. This eliminates the need for synthesizing images, which is often necessary in environments with significant differences in brightness, reducing the amount of data processed and improving the recognition accuracy of moving subjects.
With the increasingly widespread use of CCTV cameras in recent years, there has been a corresponding growth in demand for image sensors that can capture high-quality images in environments with significant differences in brightness, such as stadium entrances and night-time roads. Canon has developed its new sensor for such applications, and will continue to pursue development of sensors for use in a variety of fields.
The new sensor realizes a dynamic range of 148dB — the highest-level performance in the industry among image sensors for monitoring applications. It is capable of image capture at light levels ranging from approximately 0.1 lux to approximately 2,700,000 lux. The sensor’s performance holds the potential for use in such applications as recognizing both vehicle license plates and the driver’s face at underground parking entrances during daytime, as well as combining facial recognition and background monitoring at stadium entrances.
To produce a natural-looking image when capturing images in environments with both bright and dark areas, conventional high-dynamic-range image capture requires taking multiple separate photos under different exposure conditions and then synthesizing them into a single image. Because exposure times vary in length, this synthesis processing often results in a problem called ‘motion artifacts’ in which images of moving subjects are merged but do not overlap completely, resulting in a final image that is blurry.
Canon’s new sensor divides the image into 736 distinct areas, each of which can automatically be set to the optimal exposure time based on brightness level. This prevents the occurrence of motion artifacts and makes possible facial recognition with greater accuracy even when scanning moving subjects. What’s more, image synthesizing is not required, reducing the amount of data to be processed and enabling high-speed image capture at speeds of approximately 60 frames-per-second and a high pixel count of approximately 12.6 million pixels.
Video is comprised of a series of individual still images (single frames). However, if exposure conditions for each frame is not specified within the required time for that frame, it becomes difficult to track and capture images of subjects in environments with subject to significant changes in brightness, or in scenarios where the subject is moving at high speeds.
Canon’s new image sensor is equipped with multiple CPUs and dedicated processing circuitry, enabling it to simultaneously specify exposure conditions for all 736 areas within the allotted time per frame. In addition, image capture conditions can be specified according to environment and use case. This allows the sensor to serve a wide variety of challenging applications.
Example use case for new sensor – parking garage entrance, afternoon. With conventional cameras, vehicle’s license plate is not legible due to whiteout, while driver’s face is not visible due to crushed blacks. However, the new sensor enables recognition of both the license plate and driver’s face.
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“Canon Develops New CCTV CMOS Sensor Offers Better WDR, Auto Exposure, Improved AI performance.”
