i. About The Product（FXB-X10004）
The vision sensor training bench is composed of monocular camera, binocular camera, infrared camera, 360 panoramic surround view camera, computing platform, 4 mainstream camera section demo modules, and human-computer interaction system. It is equipped with double operation stations, which draw circuit diagrams and install signal detection terminals. It also equipped with a 27-inch touch display with wireless projection function and adjustable camera mounting bracket, which can carry out practical training such as monocular, binocular, infrared, 360 panoramic camera assembly, debugging, calibration, testing, data analysis, algorithm verification and troubleshooting. Realize the teaching of vehicle camera's structural principle, pedestrian recognition, traffic sign recognition, traffic signal recognition, lane line recognition, lane departure warning, forward collision warning, infrared night vision, visual point cloud data processing, and 360 panoramic functions. It is suitable for teaching and scientific research of professional vision sensors related to intelligent networked vehicles.ii. Features
1. Demonstrate the working principle of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
2. Demonstrate the internal structure of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
3. Restore the structural arrangement and functions of monocular camera, binocular camera, infrared camera, and 360 panoramic view camera on intelligent networked vehicles.
4. Able to do assembly operation of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
5. Able to do debugging operation of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
6. Able to do calibration operation of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
7. Able to perform performance test of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
8. Able to perform data analysis of monocular camera, binocular camera, infrared camera and 360 panoramic view camera.
9. Able to perform algorithm verification of monocular camera, binocular camera, infrared camera, and 360 panoramic view camera.
10. Able to set up monocular camera, binocular camera, infrared camera, 360 panoramic view camera radar troubleshooting.
11. Able to realize the test verification of pedestrian recognition, traffic sign recognition, traffic signal recognition, and lane line recognition functions.
12. Able to realize the test verification of lane departure warning and forward collision warning functions.
13. Able to realize the test verification of infrared night vision function.
14. Able to realize the test verification of 360 panoramic function.
15. The human-computer interaction adopts a graphical interface, and the real vehicle model is used to visually display the installation positions of the four cameras on the intelligent networked vehicle, and the target recognition and detection interface is displayed at the same time.
16. The human-computer interaction interface has a calibration module, through which can do configuration calibration of monocular cameras, binocular cameras and infrared cameras.
17. With intelligent fault setting and assessment function, it can set open circuit, short circuit, occasional, poor contact and other faults to the main signal circuit.
18. Provides supporting teaching resources such as the structure principle, assembly debugging and calibration test of 4 kinds vehicle-mounted camera, including PPT, animation, operation video and task list.
iii. Basic Parameter
Front view camera
Lens Type: Front View 100°
Sensor: AR04171.3MP RGGB
The most effective pixel is not less than: 1280(H)*720(V)
Signal-to-noise ratio: 120dB
Dynamic Range: 140dB
Sensitivity: 1.8V/lux-sec@550nm
Minimum Illumination: 0.2lux
Power supply and interface: fakra Z type
Communication Technology: GMSL
Voltage: DC5-16Vpoc
Current: 150mA-200mA
Surround view camera
Lens Type: Front View 180°
Sensor: AR04171.3MP RGGB
The most effective pixel is not less than: 1280(H)*720(V)
Signal-to-noise ratio: 120dB
Dynamic Range: 140dB
Sensitivity: 1.8V/lux-sec@550nm
Minimum Illumination: 0.2lux
Power supply and interface: fakra Z type
Communication Technology: GMSL
Voltage: DC5-16Vpoc
Current: 150mA-200mA
Binocular camera
Baseline: 12CM
Lens focal length: 8mm
Dynamic range: 120DB
Resolution: 1280×720
Ranging range: 3m-100m
Image output format: YUV422
Field of view: horizontal 38°, vertical 21°
Adjustable pitch angle: 70°-90°
IMU: contains 3-axis gyroscope and 3-axis accelerometer
Infrared camera
Interface: GMSL
Resolution: 640×512
Lens focal length: 6.9mm
Field of view: 62°×50°
Working power: 12V
Operating temperature: -40°- +85°
Recognition distance: ≥200m
Dimensions: W: 42mm, L: 65mm, H: 40mm
Display
Interface: HDMI USB3.0 USB2.0 VGA COM port*2
Refresh rate: 60HZ
Resolution: 1280×1024
Display brightness: 250cd/m2
Backlight life: 5000h
Response time: 5ms
Touch Type: Multi-touch
Touch times: ≥35 million times
Network transmission method: wireless WIFI + Gigabit Ethernet port
Working temperature: -10℃-60℃
Screen size: 27
Computing Platform (AGX)
Processor: Nvidia jetson AGX Xavier
CPU: 8-core ARM v8.2 64-bit CPL
Memory: 32gb 256-bit LPDDR44
GPU: 512-core Volta GPU
Storage: 32GBeMMc
Working power: DC12-50V 30W
Deep Learning Accelerator: 2×NV DLA Engine
Interface configuration: GMSL FAKRA Z camera interface × 8
Ethernet 1×8pin waterproof Gigabit Ethernet port
1×RJ45 Gigabit network port
1 x HDMI 2.0 Type A
2×USB 3.1 Type A 1×Microhole USB
2×CAN
Input voltage: AC220V
Working environment: working temperature -10℃~60℃
Equipment specifications: ≥1500*800*1200 (length*width*height)
iv. Basic Configuration(unit)
Monocular camera, Binocular camera, Infrared camera, 4 fisheye cameras, Industrial computer, 27-inch display screen, Training bench, 360 calibration cloth kit, Traffic signs cards, Square calibration board.