These image sensors can extend battery life by up to 40%.
On Semiconductor Corporation (Onsemi), intelligent power and image sensing technologies supplier, introduced a 1.4µm pixel image sensor family, Hyperlux LP.
The product family features a stacked architecture design that minimizes its footprint and at its smallest approaches the size of a grain of rice. Depending on the use case, 5-megapixel AR0544, the 8-megapixel AR0830 or the 20-megapixel AR2020 can be chosen.
With the image sensors, cameras can deliver clearer images and more accurate object detection even in harsh weather and lighting conditions. Additionally, these cameras are often placed in locations that can be difficult to access to replace or recharge batteries, making low power consumption a critical feature.
Sensors have wake on motion feature which enables them to operate in a low-power mode that draws a fraction of the power needed in the full-performance mode. Once the sensor detects movement, it moves to a higher performance state immediately.
Smart region of interest (ROI) management delivers more than one ROI to give a context view of the scene at reduced bandwidth and a separate ROI in original detail.
Sensors have near-infrared (NIR) performance which delivers superior image quality due to the innovative silicon design and pixel architecture, with minimal supplemental lighting.
Low power consumption reduces thermal noise which negatively impacts image quality and eliminates the need for heat sinks, reducing the overall cost of the vision system.
The image sensing family is ideally suited for industrial and commercial cameras such as smart doorbells, security cameras, augmented reality/virtual reality/extended reality (AR/VR/XR) headsets, machine vision and video conferencing.
“By leveraging our superior analog design and pixel architecture, our sensors elevate the two most important elements people consider when buying a device, picture quality and battery life.” said Ross Jatou, senior vice president and general manager, Intelligent Sensing Group, Onsemi.