The CMOS image sensor supports AI features like human presence detection, facial authentication, and always-on functionality for IoT devices.
OmniVision, a global developer of semiconductor solutions, including digital imaging, analogue, and touch & display technologies, has launched the OV0TA1B monochrome/infrared (IR) CMOS image sensor. The solution fits a 3mm module Y dimension, making it suitable for notebook computers, webcams, and IoT devices. Designed for low power consumption, the sensor supports artificial intelligence (AI)-powered applications such as human presence detection (HPD), facial authentication, and always-on (AON) technology.
The image sensor is suitable for notebook manufacturers integrating human presence detection (HPD) and facial authentication into ultrathin-bezel designs, webcam developers creating compact, low-power devices, and IoT device designers enabling features like people counting and traffic monitoring.
Built on PureCel pixel technology, its 2-micron pixel offers sensitivity and modulation transfer function (MTF) performance, supporting HPD and facial authentication. Delivering 440 x 360 resolution at 30 frames per second (fps), the OV0TA1B features a low-power 220×180 resolution mode (2.58mW at 3fps) in a 1/15.8-inch optical format. This makes it a practical choice for AI-driven and space-constrained applications in devices.
Some of the features of the image sensor:
- Supports image sizes: 160 Kpixel (440 x 360)
- Two on-chip phase lock loops (PLLs)
- 2k bits of embedded one-time programmable (OTP) memory
- Static defect pixel correction
- Automatic black-level calibration
- Two-wire serial bus control (SCCB)
“Stand-alone 940nm IR cameras are becoming more mainstream, especially in the latest generation of ultrathin-bezel design notebooks that feature personalized AI features and require HPD and facial authentication capabilities,” said Jason Chiang, staff marketing manager computing, OmniVision. “The OV0TA1B is the newest mono/IR sensor in our computing portfolio designed to be a cost-effective, ultra-small-footprint device; it is ideal for HPD and facial authentication in 3mm module Y bezel and smaller designs. The ultra-small size of the OV0TA1B sensor also makes it useful for webcams and IoT devices, like those used for people and traffic counting.”
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