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2MP Ranging Camera
Project: Product Specifications | page_id: 1118
| 2MP Ranging Module | |
|---|---|
| Order Model | T40-E-E8G-2053-40x40-AIDis |
| CPU | XBurst®2 up to 1.2GHz, Dual Core |
| Memory | Built-in 2Gb |
| MCU | 600MHz RISC-V coprocessor, 32bit, in-order 5-stage pipeline core |
| AI | Supports int16/int8/int4/int2, 8TOPS |
| Video Encoding | Supports H.265/H.264 encoding, maximum bitrate 1920x1080@30fps |
| Audio Input | Sampling rate: 8K/12K/16K/24K/32K/44.1K/48K/96K |
| Audio Output | Supported |
| Storage | 8G ( eMMC 5.1 ) |
| Supply Voltage | DC 12V |
| USB | USB 2.0 OTG |
| Network | RJ45 10/100M |
| Operating Temperature | 0 to 70℃ |
| Service Life | Continuous operation life of more than 1 year |
Product Images (PCBA)

Working Principle Introduction
By combining various ranging model algorithms, the distance of the object is obtained, and the actual distance is displayed through the serial port and the screen.

* **Perspective Projection Model**: Based on the pinhole camera model, the distance is calculated using the relationship between the projected size of the object in the image and its actual size. The formula is X/Z = x/f, where (X,Y,Z) is the position of the object in the camera coordinate system, (x,y) is the image coordinate, and f is the focal length.
* **Size-Ratio-Based Ranging**: The distance is calculated using the known actual size of the object and its projected size in the image. For example, given the object width W and the pixel width P, the distance can be calculated by the formula D = W×f/P.
* **Geometric-Relationship-Based Ranging**: The distance is calculated using the geometric features in the scene (such as the horizon and pitch angle), which is suitable for fixed-installation cameras.
* **Deep-Learning-Based Ranging**: The depth information is regressed directly from the image through a neural network, without the need for an accurate camera model, but it requires a large amount of labeled data.
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