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E-mail
wjfang@robvision.cn
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Phone
13675884706
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Address
No. 1818-2 Wenyi West Road, Yuhang District, Hangzhou City, China Artificial Intelligence Town 7-902
Product Categories
Hangzhou Blue Core Technology Co., Ltd
S2 visual obstacle avoidance camera
NegotiableUpdate on 03/28
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Overview
The S2 visual obstacle avoidance camera uses the Time of Flight (ToF) method for distance measurement, which measures the distance from an object to the camera by measuring the time it takes for light to be emitted and reflected back from the object.
Product Details
The S2 visual obstacle avoidance camera uses the Time of Flight (ToF) method for distance measurement, which measures the distance from an object to the camera by measuring the time it takes for light to be emitted and reflected back from the object.
The S2 Max camera uses the most direct measurement method for depth imaging, obtaining better depth information with minimal computing resources and constructing depth scenes at a higher frame rate. According to its basic principle, ToF cameras, like LiDAR, can also be divided into pulse ToF (P_ToF) and continuous wave modulation ToF (CW_ToF). P_ToF emits light pulses (usually invisible light) onto the observed object, and then receives the reflected light pulses from the object. The distance between the observed object and the camera is calculated by detecting the flight (round-trip) time of the light pulses; CW_ToF emits a modulated continuous beam of light, which is used to measure the distance by measuring the phase difference between the light's return and transmission, and then deducing the light's flight time.
The SDK can be used to initialize and start the camera, retrieve data, and turn off the camera. Camera application development on system platforms other than Linux or Windows can refer to the source code in the SDK for corresponding porting and development.
The SDK outputs depth map data and intensity map data with a set resolution size on a frame by frame basis, arranged in a one-dimensional array with the pixel in the upper left corner of the image as the origin, in order from left to right and top to bottom. As shown in Figure 6.1, output along the x-axis first and then along the y-axis, resulting in the following output sequence:
(x,y):(0,0)(0,1)(0,2)(0,…)(1,0)(1,1)(1,2)(1,…)(2,…)(3,…)(…,…)。
Each pixel in the depth map is represented by a 16 bit unsigned short integer to indicate the distance from the measured object to the plane where the camera is located.
Each pixel in the intensity map is represented by a 16 bit unsigned short integer to indicate the intensity returned by the object being measured.
S2 visual obstacle avoidance cameraTechnical Specifications:
camera |
model |
Eagle-S2 Max |
performance |
chip |
Sony chip |
Distance measurement method |
Optical time-of-flight method |
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working wavelength |
940nm |
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TOF resolution and frame rate |
320 × 240 (typical value of 12fps) |
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TOF field of view angle |
81°×61° |
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RGB resolution and frame rate |
1920 × 1080 (typical value of 12fps) |
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RGB field of view angle |
88°×56° |
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measure distance |
0.2~5m (90% reflectivity) 0.2~2.5m (10% reflectivity) |
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measurement accuracy |
±3mm+0.5%×depth |
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electrical |
communication interface |
Ethernet / CAN |
power interface |
Industrial grade aviation plug 5Pin |
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power supply |
24V DC / 2A |
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average power consumption |
6.6w |
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structure |
Overall dimensions |
88mm×47mm×47mm |
weight |
333g |
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IP protection rating |
IP42 |
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Operating Temperature |
-20℃~60℃ |
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Storage temperature |
-40℃~85℃ |
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humidity |
10%~90% RH without condensation |
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other |
Anti light interference |
Can adapt to up to 100Klux sunlight |
Anti Shadow - Light |
100Klux Shadow Light Intersection Change Less than 1cm |
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software environment |
C / C++ / ROS SDK |
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Operating system support |
Windows7/8/10/11，Linux，Arm Linux/ROS |
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cooling method |
passive cooling |
