Veise Forklift Rear View Camera with IP69K Waterproof Ai Pedestrian Detection Blind Spot Monitoring for Engineering Vehicles

• Customization: Available
• After-sales Service: 1 Years
• Warranty: 1 Years
• Model NO.: HDWS-772M151MLP1-AI
• Applicable Model: Car, SUV, Truck, Agricultural Vehicles, Engineering Vehicles, Sightseeing Car, RV, Harvester, Corn Machine
• Shell Material: ABS Plastic
• Probe Number: 2
• Display Type: Reverse Image
• Interface: Air Plug
• Function: Night Vision, Waterproof, Shockproof
• Definition: 1080P
• Chip: CCD
• Waterproof Grade: IP69K
• Power: 5W
• Voltage: DC11~32V
• Color LCD Display: 7 Inch IPS Screen
• Picture Mode: Single Screen / Split Screen
• Receiving Distance: Open ≤200m
• Warning Mode: Buzzer - Di Di Di
• Customisable Warning Area: Adjustable, Ai Humanoid / Vehicle Recognition Cust
• Load Dump Protection: 24V System
• Operating Temperature: -20ºC to +70ºC
• Camera Adopt: 1/2.9 CMOS Sensor
• Support: Ai Humanoid and Vehicle Identification
• Built-in Power-Saving Features: Standby Current as Low as 10mA
• Transport Package: Carton
• Trademark: VEISE
• Origin: China
• HS Code: 8528591090
• Production Capacity: 50000PCS/Month

Product Description

Wireless AI Alarm Detect People Vehicle Nearby Collision Warning Pedestrian Precise Alert Truck Backup Camera Blind Spot Detection System
System model: HDWS-772M151MLP1-AI
 

 

Features

The AI vehicle driving detection pre-system is an intelligent vehicle safety monitoring device specially designed for industrial vehicles, such as buses, commercial vehicles, engineering vehicles, stackers, forklifts and other engineering equipment, which can detect the dangerous state of the work area in real time It also provides warnings to improve the safety of engineering vehicles.It is an indispensable safety system in the era of smart industry.

The AI intelligent video analysis host is based on the AI image intelligent recognition technology as the core, learning through the artificial intelligence deep learning technology, summarizing the rules of the video image data of a large number of cameras, realizing automatic detection and analysis of real-time video images, and giving prompts, warnings and control.
 

1. Deep learning algorithm
Through the convolutional neural network algorithm of video image recognition, deep residual neural network algorithm, online learning promotion model, etc., combined with image dynamic analysis and prediction model and multi-redundant self-learning decision-making mechanism, intelligent image analysis, target tracking and recognition, and the identification and early warning of major hazards can meet the requirements of recognition rate ≥99% and accuracy rate ≥99% in specific scenarios.

 

2. Intelligent driving
Support the front, left and right and rear four-way blind areas. When a motor vehicle/non-motor vehicle/pedestrian approaches the area, it will prompt a buzzer alarm. The early warning custom calibration can control the range of the alarm area by adjusting the position of the four points of the red quadrilateral. When there are motor vehicles, non-motor vehicles, When pedestrians approach the area, the alarm will be prompted.

3. Video intelligent storage
RTOS system The recorded video file is H.264 protocol video codec, the file format is TS, which can be played by any computer player.

4. Linkage function
Left view monitoring: Trigger left-to-left monitoring image display, when a motorized vehicle/non-motorized vehicle/pedestrian approaches the area, it will prompt a buzzer alarm Right-view monitoring: Trigger right-to-right monitoring image display, when a motor vehicle/non-motor vehicle/pedestrian approaches the area, it will prompt a buzzer alarm Rear view monitoring: Trigger reversing rear view monitoring image display, when a motor vehicle/non-motor vehicle/pedestrian approaches the area, it will prompt a buzzer alarm
Display the right-view monitoring image display in the double flashing state
Pedestrian/vehicle detection: When a motor vehicle/non-motor vehicle/pedestrian approaches the area, it will prompt a buzzer alarm

Parameter

AHD Wireless AI Monitor(MWHD-772M-AI)
Color LCD Display	7-inch IPS screen
Wireless Receiver	Built-in 2.4G Wireless Receiver
Picture Mode	Single screen / Split screen
Working Frequency	2400~2483.5MHZ
Receiving Sensitivity	≤-86 dB, using two antennas receiving signal
Receiving Distance	Open ≤200m
Frequency Hopping Channel	80
Support	AI three-level warning, warning mode: buzzer - di di di
Color System	PAL/NTSC (AUTO)
Customisable Warning Area	up and down, left and right adjustable,  AI humanoid / vehicle recognition custom ON/OFF
Load Dump Protection	24V system: US=174V/Ri=400Ω/Td=350ms
Anti-vibration Grade	5G
Operating Temperature	-20ºC to +70ºC
Storage Temperature	-30ºC to +70ºC
Operating Voltage	DC8-32V(5W Max)
Dimensions	220mmX150mmX85mm(without antenna)

 

AHD Wireless AI Camera (CWHD-151M-AI)
Image Sensor	1/2.8 Color DSP
Wireless Transmission	Built-in 2.4G digital wireless transmitter
Transmit Power	18dBm
Launch Distance	Open area ≤200m
Support	AI humanoid and vehicle identification, 0.5T arithmetic; humanoid detection blue box, vehicle identification red box
Built-in Power-saving Features	Can be used with the power bank, standby current as low as 10mA
Load Dump Protection	24V system: US = 123V / Ri = 8Ω / Td = 100ms
Waterproof Level	IP69K
Input Power	DC8-32V(5W Max)
Operating Temperature	-20ºC to +60ºC
Storage Temperature	-30ºC to +70ºC
Installation	91.6mmX75mmX71mm(without bracket and antenna)
Dimensions	82(W)x73(H)x68(D) mm