“Machine vision applications are experiencing strong growth, fueled by increased demand for industrial automation and new use cases such as augmented reality and virtual reality. Meanwhile, computer vision algorithms are becoming more and more sophisticated, which in turn drives up the performance requirements of image sensors,” said Sanjay Kumar, senior marketing manager at OmniVision. “We are excited to offer these high-resolution and high-performance global shutter image sensors to the machine vision community, enabling new applications and new use cases.”
The 2-megapixel OG02B1B (monochrome) and the OG02B10 (color) image sensors provide 1600 x 1300 resolution in a 1/2.9-inch optical format and a 15-degree CRA to support wide field-of-view lens designs. This combination of color imaging and CRA is excellent for applications such as agricultural drones that must capture high-resolution color images for crop and field monitoring.
The OV9285 provides an even more cost-effective option, with a 1.48-megapixel or 1328 x 1120 resolution, the ability to capture video at 90 fps and an optical format of 1/3.4-inch with a CRA of 9 degrees.
Both sensors are built on 3um OmniPixel3-GS pixel technology. It provides high QE and NIR sensitivity at 850nm and 940nm, which reduces power consumption and extends device battery life.
The OG02B1B, OG02B10 and OV9285 image sensors are available now.
Omnivision is a Chinese company. I guess she would not be caught up in China-United states trade war, then increase China market share.
ReplyDeletemachine vision with 15deg CRA? (in many applications telecentric lens are used).
ReplyDeleteAnother thing is - in robotics a square FOV is often an advantage. I dont understand why so little sensors explicitly targeting machine vision have non square FOV. In our case we would usually use 1300x1300 of a 1600x1300 sensor...
Maybe because they were not initially designed with machine vision / robotics in mind but for other more high volume markets....??
DeleteWhat's the fundamental reason behind square FOV being popular in robotics/machine vision?
DeleteIs the GS pixel the same as Cmosis/ams' voltage domain GS structure? I bet it is.
ReplyDeleteIs this GS pixel FSI or BSI?
ReplyDelete