Allicdata Part #: | OV07962-E62Y-RF-ND |
Manufacturer Part#: |
OV07962-E62Y-RF |
Price: | $ 6.65 |
Product Category: | Sensors, Transducers |
Manufacturer: | OmniVision Technologies Inc |
Short Description: | IC IMAGE SENSOR VGA 62-ACSP |
More Detail: | CMOS with Processor Image Sensor 752H x 480V 6µm x... |
DataSheet: | OV07962-E62Y-RF Datasheet/PDF |
Quantity: | 1000 |
1200 +: | $ 6.04642 |
Series: | OmniPixel3-HS™ |
Packaging: | Bulk |
Part Status: | Active |
Type: | CMOS with Processor |
Pixel Size: | 6µm x 6µm |
Active Pixel Array: | 752H x 480V |
Frames per Second: | 60 |
Voltage - Supply: | 3.3V |
Package / Case: | Module |
Supplier Device Package: | Module |
Operating Temperature: | -- |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
Image Sensors and Cameras are devices that capture visual data from a physical scene. The OV07962-E62Y-RF is a type of image sensor that is used in many applications such as automotive, industrial computing, and medical imaging. This image sensor, also known as an On-Chip Image Sensor Transformer or OITS, is a high-performance, compact image sensor that provides high resolution and excellent signal-to-noise ratio for image processing and analysis. This article will discuss the application fields and working principle of OV07962-E62Y-RF.
The OV07962-E62Y-RF is a CMOS image sensor with an active array size of 2.4 Megapixels and a frame rate of up to 100 frames per second. The sensor supports high speed and low-noise image acquisition, making it suitable for a variety of applications. It is used in applications such as automotive, machine vision, medical imaging and many others.
In automotive applications, the OV07962-E62Y-RF is used for real-time driver monitoring. The sensor processes images at up to 100fps in both linear and nonlinear modes and also offers features such as image stabilization, night vision, face recognition, and light exclusion. It is also used in autonomous vehicles for object detection and tracking.
In industrial computing, the sensor is used to capture images of real-time data for machine processing. It is used for the recognition of objects, motions, and gestures, as well as for tracking and surveillance. The sensor can be used in industrial robots, manufacturing, and research and development.
In medical imaging, the OV07962-E62Y-RF is used for the capture and analysis of medical images. This image sensor is used for imaging of organs and tissue in medical diagnosis, patient monitoring, and surgical visualization. It is also used for the imaging of radiologic techniques, including MRI and CT scans.
The OV07962-E62Y-RF utilizes a CMOS image sensor that combines a CMOS array with an on-chip image signal processor (ISP). The sensor’s low power consumption and high frame rate enable it to capture crisp images with low noise and low power consumption. The CMOS image sensor is designed to be integrated into applications where a small form factor is required. The OV07962-E62Y-RF is also designed to perform well in harsh environments such as high temperatures and vibrations.
The OV07962-E62Y-RF also utilizes a high-performance ISP that is capable of performing image processing functions such as demosaicing, auto-exposure, auto-white balance, color interpolation, and edge detection. The ISP is comprised of high-speed logic circuitry and analog-to-digital converters that allow the sensor to process images at speeds up to 100 frames per second.
The OV07962-E62Y-RF image sensor also features embedded memory with non-volatile flash memory that is used to store calibration parameters and motion vectors. This embedded memory is used to store calibration parameters for image stabilization, auto-exposure, and auto-white balance. The embedded memory also provides a convenient way to store motion vectors.
The OV07962-E62Y-RF image sensor is a versatile image sensor that is suitable for a variety of applications. This image sensor combines high-performance image processing with low power consumption and small form factors. This makes it an ideal choice for applications such as automotive, medical imaging, machine vision, and industrial computing.
The specific data is subject to PDF, and the above content is for reference
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