Guangzhou Leisure Auto Safety Technology Co., Ltd.
Guangzhou Leisure Auto Safety Technology Co., Ltd.
Add to Cart
LS870 4-in-1 Driving Assistance Solution ADAS+DSM+4G GPS+ monitor center
| ADAS Features | Description | Warning Strategies |
| Lane Departure Warning | Lane change without turn signals | Speed>50km/h |
| Headway Monitoring and Warning | Too close to vehicles ahead | Level 1: Speed > 40km/h, TTC<0.8s |
| Level 2: Speed > 40km/h, TTC<0.4s | ||
| Forward Collision Warning | High relative velocity to the vehicle ahead | TTC<2.7s |
| Pedestrian Collision Warning | Potential collisions with pedestrians | Speed < 60km/h, TTC<1.4s |
| Virtual Bumper | The vehicle unintentionally moves forward when the vehicle ahead stops | Distance: <1m |
| Front Vehicle Departure Warning | The vehicle stands still when the vehicle ahead starts to move forward | Front vehicle departure time : > 3s |
| DSM Features | Description | Warning Strategies |
| Eye Closure | the driver’s eyes are closed | Speed>20km/h |
| Yawning | the driver is yawning | Speed>20km/h |
| Head Down | the driver is looking down | Speed>20km/h |
| Eyesight Deviation | the driver is not looking forward | Speed>40km/h |
| Phone calls | the driver is talking over the phone | Speed>20km/h |
| Smoking | the driver is smoking in the vehicle | Speed>20km/h |
| Empty | the camera didn’t detect the driver’s face | Speed>20km/h |
| Shelter | the camera is covered | Speed>20km/h |
LS870-H1 system supports FCW, LDW, HMW, PCW, SLI, front vehicle departure warning, virtual bumper, data transmission, driving recording, etc. H1 system also supports extending one more camera to monitor driver status, and will issues alerts for reminding driver.for driver fatigue, distraction and unmatched driver identity.
LS870H1 ADAS Camera, (DMS Camera,Display Unit,both optional)
| Module | Type | Description |
| ADAS Camera | Dimension | 120mm*80mm*36mm |
| Texture | PC/Aluminium Alloy | |
| Interface | Support 1 AHD Video Signal ( the default is 720P; Max support 1080P Support 1 USB 2.0, expand DMS; Support 1 RS232; Support 1 100M Ethernet port ;Support 3 DI input; | |
| Video Output | NTSC:1280*720@30fps | |
| Network | 4G,WIFI,BT(4.0) | |
| Sensor | Accelerometer, gyroscope | |
| GPS | GPS, Beidou (High precision selection ) | |
| TF Card | Max 128GB | |
| Memory | 1GB RAM+8GB ROM | |
| Active Pixel | 1280X720 ; HDR | |
| Camera Parameters | Horizontal50°,Vertical28° | |
| Video Output | NTSC:1280*720@30fps | |
| Operation Voltage | DC 9V-36V | |
| Environment Parameters
| Storage Temp. : -40℃-85℃ Operation Temp. : -25℃-70℃ |
| DMS Camera (optional) | Image Size | Active Pixel | 1280*720 |
| IR | support,wavelength 940nm | ||
| Camera Parameter | Horizontal50°,Vertical28° | ||
| Video Output | 1PAL: 1280*720@25fps | ||
| No.1 | Type | Description |
| 1 | Dimension | 54mm * 52mm * 37mm(fold) |
| 2 | Weight | 35g |
| 3 | Interface | RS232 |
| 4 | Rated Power | 5V/0.1A,Power Range:5V+/-10% |
Warning images and videos will be transferred to the AI-based risk management software in real time, so that fleet managers could detect the driver/vehicle status at any time. The platform also supports driving recording, monitoring in real time, driver risk assessment and data analysis for improving the visual intelligent fleet management.
1) Real-Time Risk Warning
Support detection of road, vehicle or driver, etc, it will issue warnings when the system detects potential collision risk.
2) Visualized vehicle monitoring
Support detection of road, vehicle, driver,etc, including lane departure, follow the vehicle too close, press lines frequently, sharp turns, quick start, quick stop, driver fatigue/distraction, etc.
3) Intelligent Risk Control Intervention
Support uploading the warning videos and images to the cloud platform, evaluate the current risk level based on the comprehensive situation, adopt intelligent processing mechanism for automatic intervention.
4) Automatic Evidence Capture
Support uploading warning videos and images to the cloud platform in real time, support downloading and capturing evidences.
5) Driver Behavior Analysis
Support collecting the abnormal data form road, vehicle, and driver in real time.
6) Driving Analysis Report
Support online viewing, provide data analysis report for improving the efficiency of fleet management.