Sony Released the World's First Built-in Intelligent Vision Sensor

- The stacked structure consisting of a pixel chip and a logic chip is equipped with an image sensor with AI image analysis and processing functions on the logic chip.
- The signal acquired by the pixel chip is processed by the AI on the sensor without the need for a high-performance processor or external storage, which can help the development of the edge AI system. The sensor outputs metadata (semantic information belonging to image data) instead of image information, thereby reducing the amount of data and ensuring privacy and security.
- In addition, AI can provide a variety of functions for a wide range of applications, such as real-time target tracking under high-speed AI processing. You can also reprogram the memory using the location according to the user's needs or system to choose different AI models.
- Main functions of the first built-in AI image sensorNext are the four main functions of IMX500 and IMX501. Image sensor with AI processing function The pixel chip is back-illuminated, with about 12.3 million effective pixels, which can capture image information from a wide-angle of view. In addition to the traditional image sensor operation circuit, its logic chip is also equipped with Sony's original DSP, which is specially used for AI signal processing and storage for AI models. This configuration does not require high-performance processors or external storage, making it ideal for edge AI systems.
- Metadata output
- The signal collected by the pixel chip is processed by the ISP, and the AI operation is performed at the processing layer of the logic chip, and the extracted information is output as metadata, which can reduce the amount of data that needs to be processed. At the same time, not outputting image information helps reduce security risks and ensure privacy.

- In addition to the images captured by traditional image sensors, users can also choose data output formats according to their needs and uses, including ISP format output images (YUV / RGB) and ROI specific area extraction images.High-speed AI processingWhen recording video using a traditional image sensor, each frame of video data needs to be sent for AI processing, resulting in a large amount of data transmission, making it difficult to present the results in real-time.
- For example, when multiple cameras equipped with new sensors are installed in retail locations, a single type of camera can be used in different locations, environments, times, or purposes: When installed at the entrance of the venue, it can be used to count the number of visitors; When installed on store shelves, it can be used to detect shortages in inventory; When installed on the ceiling, it can be used to draw a heat map of the shop's passenger flow. In addition, the AI model in the specified camera can be rewritten from a model for detecting heat maps to a model for identifying consumer behavior.Finally, I provide the key parameters of IMX500 and IMX501.
Model name
IMX500 (bare chip product)
IMX501 (package product)
Number of effective pixels
4056(H)×3040(V), approx. 12.3 megapixels
Image size
Diagonal 7.857 mm (1/2.3 type)
Unit cell size
1.55μm(H)×1.55μm(V)
Frame rate
Full pixel
60fps
Video
4K(4056×2288)60fps
1080p 240fps
Full/video+AI processing
30fps
Metadata output
30fps
Sensitivity (F5.6 standard value)
Approx. 250LSB
Sensor saturation signal level (minimum value)
Approx. 9610e-
Power supply
Analog
2.7V
Digital
0.84V
Interface
1.8V
Main functions
AI processing function, ISP, HDR shooting
Output
MIPI D-PHY 1.2 (4lane)/SPI
Color filter array
Bayer array
Output format
Image (Bayer RAW), ISP output (YUV/RGB), ROI, metadata
Package
-
Ceramic LGA 12.5mm(H)×15.0mm(V)
- Reference
- https://www.sony.net/SonyInfo/News/Press/202005/20-037E/




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