Lilin
Lilin PCFLOW Traffic Management: Turn Left, turn right, wrong way
Quantity:
- Detect multiple objects, including pedestrians, bicycles, motorbikes, cars, pickups, trucks, busses, trailers, and other vehicles.
- Gain statistical insight to real-time traffic patterns and moving violations.
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Utilize simple and effective traffic queueing detection for traffic management and optional alarm notifications.
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Description
LILIN Aida traffic flow management precisely detects multiple objects, such as pedestrians, bicycles, cars, motorbike, bus, truck, trailer, TUK TUK, and pickup truck detection. Manage traffic flows in real-time and sends alarm notifications when traffic congestion is detected, effectively diverting city traffic. Besides, utilizing the NAV Client management system to obtain big data report.
| Model | PCFLOW |
| Object recognition supported | Person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, tuktuk, trailer, pickup, fire engine, SUV, van, police car, ambulance |
| Camera supported | LILIN cameras (recommended) and ONVIF cameras |
| Supported AI engines | Traffic management |
| Aida computing power capacity | Aida power 2 / ch |
| Rrecognition speed (per server) | 4 recogs / sec / ch |
| Maximum objects recognized in a frame | 24 objects / frame |
| Zone configuration | 4 zones |
| Color recognition | Traffic objects |
| AI recognition resolution requirement | Traffic object 100x100 pixels |
| Object size filter | Yes |
| SDK | Yes |
| Video resolution | 1920 * 1080 or lower |
| Interface Language | English / Traditional Chinese / Japanese / Italian |
| User management with access rights | Three levels |
| Application | Traffic management |
| Recording (optional) | Navigator Corporate |
| Behavior counter | 64 |
| Behaviors Detection | Traffic flow counting left turn flow counting right turn flow counting wrong way counting queuing detection prohibit zone parking violation turn left violation turn right violation u-turn violation run the red light people density |
| NAV statistics report (optional) | Vehicle flow, vehicle types, people counting, behavior counting, and color counting |
| NAV statistics report type (optional) | Web based pie chart, bar chart, and line chart JPEG snapshot supported |
| NAV statistics report time range (optional) | 7 days, 30 days and 60 days |
| NAV statistics summary (optional) | Camera, object classification, or behavior summary report |
| NAV counter (optional) | Support tripwire mode and object tracking |
| HTTP Post notification | LILIN smart IO box, LILIN LED display, third-party network device, or cloud |
| HTTP/HTTPs push notfication with JPEG snapshot | 16 |
| Support Line notfication | Via IFTTT |
| Digital output | Controllable via IP cameras or LILIN Network I/O Box |
| Car park counting for multiple cameras | LILIN LED display |
| Building capacity counting display | LILIN LED display |
| Suggested CPU | Intel® i7 or above |
| GPU/VPU supported | NVidia 2060 6G or above |
| System memory | RAM 16G (recommended) |
| OS requirement | Windows 10 with DirectX 12 installed |
