Driving Assist BSD Special Fit for BMW Car Mirror Blind Spot Detection System
Composition of vehicle blind spot monitoring system
The vehicle blind spot monitoring system generally consists of a sensing unit, an electronic control unit and an execution unit.
The vehicle blind spot monitoring system mainly consists of millimeter wave radars installed on the left and right rearview mirrors. This millimeter wave radar uses 24GHz millimeter wave radar. The maximum detection distance is about 50m, and the detection angle is about 30°. Recognize objects with heights above 50cm. Millimeter-wave radar can sense moving objects such as vehicles and bicycles coming from behind. The electronic control unit can calculate the relative speed of the moving object and the current vehicle. If the relative speed is greater than the threshold set by the system, the vehicle blind spot monitoring system is activated at this time, and the vehicle The exterior rearview mirror indicator light is always on. If the driver attempts to change lanes to a dangerous lane at this time, the vehicle's exterior rearview mirror indicator light will flash and the alarm buzzer will sound to alert the driver of the risk of collision.
* Advantage:
- No holes drilling, stick on the inside bumper
- Audible display can be placeed anywhere near the A-pillar (no sticker is needed)
- Easiest Way to Install in BSD product
- Detect range: ~25MPH/10 Meters
- Product liability and 1 year worldwide warranty
- 77GHz ultrahigh frequency blind spot detection system with high resolution and fast response speed
- Match with 2 microwave sensors for rear corners blind spot area
- Blind spot detection system available while driving
- Detection area: 3*10 meters right & left-rear corner of vehicle
- Visual and audial display with optional buzzer ON/OFF
- Adjustable brightness of distance
| | Parameter | Technical indicators |
| | Operating Voltage | 8-36v |
| | Operating temperature | -40°C-85°C |
| | Power consumption | <2W |
| | Waterproof level | Ip67 |
| | Frequency band | 77-81G |
| | Housing size | 67x81x20mm |
| | Weight | 132.4g |
| | Horizontal beamwidth | ±60° |
| | Distance resolution | 0.5m |
| | Ranging accuracy | Better than 0.18m |
| | Detection distance | 70m |
| | Input signal | 1 reverse signal, turn signal |
| | Output signal | 1 buzzer, left&right alarm
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Company Profile
Guangzhou RoadPassion Electronics Technology Co.,Ltd
Guangzhou RoadPassion Electronics Technology Co.,Ltd was founded in 2012 with a registered capital of 20 million yuan and is headquartered in Science City, Guangzhou High-tech Industrial Development District, enjoying convenient transportation and beautiful environment. Our company covers an area of 2393 square meters and it is a national high-tech enterprise specializing in the R&D, manufacturing, sales and service of intelligent vehicle safety assistance systems, including Intelligent Electronic Rear View Camera Mirror System (CMS), CarPaly and Android Auto, Reverse Camera Interface (IPAS), 360 Around View Camera System ( AVM), DVR, HD Camera, TV Free and Video Unlock, ect.
Advantages
Our Team:
RoadPassion is a professional manufacturer in this industry, we have develop an proffesional R&D team with 30 engineers, of who mostly has over 8 years experiences. We have obatianed 8 invention patents, 3 international PCT patents, 28 utility model patents, 45 software copyrights and other intellectual property rights.
Our Customer Service:
24H online service, including before-sale, after-sale.
Production:
We are factory, quality and production is assured.
Marketing:
After years of technical development and professional customer service, “RoadPassion" brand successfully enter into Europe, South America, Africa, Asia and Mid-East Market.
Why Choose Us?
1. 24H customer service
2. 11 years experiences
3. 50 people professional teams
4. Prefessional quality assurance
5. 1 year warranty
DVR Kit Picture
Packing & Shipping
Shipping is via express, sea, flights, with retails package as belows:
Product Tags:
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Driving Assist BSD Special Fit for BMW Car Mirror Blind Spot Detection System Images
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