- Brand: Dahua
- Product Code: DHI-ITC431-RW1F-IRL8
- Availability: No Stock
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Dahua AI Enforcement camera ANPR 4 Megapixel WDR ANPR Camera, for speed up to 120KM/hr, 10-40mm motorized lens, with IR, up to 3 lanes , max 120km / hr, Integration of the LPR algorithm in the camera
Dahua AI Enforcement camera ANPR 4 Megapixel WDR ANPR Camera, for speed up to 120KM/hr, 10-40mm motorized lens, with IR, up to 3 lanes , max 120km / hr, Integration of the LPR algorithm in the camera, structuring of vehicle data : recognition of the license plate, size of the vehicle, detection of the color of the vehicle, integrated in the NVR5 series
Intelligence, Target Detection , Face Detection , License Plate Recognition ,Vehicle Type Recognition , Vehicle Color Recognition, Motor Vehicle Violation, Non-motor Vehicle Violation Capture ,Traffic Flow Detection, Traffic Event Detection, Video Metadata, alarm I/O 3/2, audio I/O, 12Vdc/36Vdc/ PoE, IP67
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- Dahua ANPR IP Camera
- Installation material
- User manual
| Basic | |
| Bad Pixel Correction | Yes |
| Edge Enhancement | Yes |
| Electronic Shutter Speed | 1/25 s–1/100000 s (manual/auto) |
| Exposure Mode | Full auto, customized auto, customized |
| HLC | Yes |
| Illuminator Number | 4 illuminators (850nm IR LED illuminators, brightness adjustable) |
| Image Resolution | 2688 × 1520 (OSD black strip excluded) |
| Image Sensor | 1/1.8'' CMOS |
| Iris Control | Fixed iris/manual iris/auto iris/P iris |
| Noise Reduction | 2DNR/3DNR |
| Picture Encoding Format | JPEG |
| Shutter Mode | Single shutter |
| Video bitrate | H.264: 32kbps–32767kbps H.265: 32kbps–32767kbps MJPEG: 512kbps–32767kbps |
| Video Compression | H.265/H.264M/H.264H/H.264B/MJPEG |
| Video Frame Rate | Maximum 25fps; main stream (2688 × 1520@25fps), sub stream (1600 × 1200@25fps) |
| Video Resolution | 4M (2688 × 1520)/1080P (1920 × 1080)/UXGA (1600 × 1200)/720P (1280 × 720)/D1 (704 × 576)/CIF (352 × 288) |
| WDR | 90 dB |
| White Balance | Auto/outdoor/manual/local white balance/natural light/ street light |
| System | |
| Main Processor | High-performance embedded processor |
| General | |
| Max Speed that the Camera Detects | 120km/h |
| Operating humidity | 10%–90% |
| Operating temperature | −40°C to +65°C (−40°F to +149°F) |
| Power Consumption | ≤ 8W |
| Protection Class | IP67 |
| Vehicle Recognition | Vehicle recognition rate ≥95% |
| Certifications | CE, FCC, UL |
| Power Supply | 12V DC, 36V DC, PoE |
| Mounting | Supports installation with universal mounting bracket, or side-mounted on pole with mounting bracket |
| Net Weight | 2.8 kg (6.17 lb) |
| Gross Weight | 4.5 kg (9.92 lb) |
| Lens | Built-in 10 mm–40 mm motorized vari-focal lens |
| Function | |
| Alarm Event | Storage full, storage error, external alarm, no storage card, license plate blocklist, illegal access, network disconnection, and IP conflict |
| Auto Registration | Yes |
| Automatic Network Replenishment (ANR) | Platform, FTP (TF card is required) |
| Composite Image | Supports composing 1, 2, 3, or 4 pictures |
| Drawing Detection Line | Supports automatically drawing detection lines |
| Image Tampering Prevention | Yes. Watermark and verification are available for videos and pictures |
| OSD Overlay | Motor vehicles: Time, location (video channel location), lane (number, direction), plate (number and color), speed, region, vehicle color, vehicle logo, vehicle type Non-motor vehicles: Helmet, passenger overloading |
| Security | Authorized username and password, MAC address binding, HTTPS encryption, and network access control |
| Storage | FTP, TF card (maximum 256GB@Class10) |
| Time Synchronization | Yes. NTP |
| Trigger Mode | Video detection/radar |
| Port | |
| Alarm Input | 3 channels |
| Alarm Output | 2 channels. 1 for relay, and 1 for optocoupler |
| Audio Input | 1 |
| Network | 1 RJ-45 Ethernet port, 10/100/1000M network transmission |
| RS-232 | 2 ports. G T R for serial debugging, and G T1 R1 for connecting to radar |
| RS-485 | 1, connecting to devices such as radar |
| Storage | 1, supports maximum 256GB TF card local storage |
| Intelligence | |
| Face Detection | Face cutout of driver and front-seat passenger of motor vehicles, and non-motor vehicle driver |
| License Plate Recognition | Adopts self-developed algorithm to recognize license plates combining numbers and letters |
| Motor Vehicle Violation Capture | Overspeed, underspeed, wrong-way driving, illegal lane change |
| Non-motor Vehicle Violation Capture | Overloading, not wearing a helmet |
| Target Detection | Motor vehicles and non-motor vehicles |
| Traffic Event Detection | Parking violations of motor vehicles, wrong-way driving, and traffic congestion |
| Traffic Flow Detection | Statistics of vehicle flow, average speed, vehicle type, lane occupancy, average time headway, average queue length, road status, and more; statistics can be exported in Excel |
| Vehicle Color Recognition | White, pink, black, red, yellow, gray, blue, green, amber, purple, brown, silver gray (color cannot be recognized in IR mode during nighttime) |
| Vehicle Type Recognition | Vehicle head: Coach bus, medium bus, SUV, MPV, pickup, heavy truck, medium truck, car, van, and light truck Vehicle tail: SUV, car, van, coach bus, pickup, cargo truck, mini truck, tank truck, and mixer truck |
| Video Metadata | Motor vehicle: License plate, vehicle type, vehicle color, license plate color, vehicle logo, and more (color cannot be recognized in IR mode during nighttime) Non-motor vehicle: Type (two-wheelers, three-wheelers), color, wearing a helmet or not, passenger (1, 2, 3, or more passengers) |
