Description
DHI-ITC431-RW1F-IRL8
Dahua 4MP IR AI Enforcement Camera
Datasheet:
DHI-ITC431-RW1F-IRL8
- Impressive image quality: Adopts ultra starlight CMOS image sensor with high sensitivity, high SNR, and excellent WDR, providing lifelike images 24/7.
- Complete intelligence: High-performance CPU processor helps extract and analyse vehicle metadata, providing vehicle feature details for business decision-making.
- Multiple scenarios: Ideal for multiple traffic scenarios with the functions of road conditions monitoring, traffic flow statistics, and event detection. Supports IR mode at night for reduced light pollution.
- High-level protection: Integrated design with low power consumption, built-in lightning protection module, and IP67 protection grade, suitable for various harsh environments.
| System | Main Processor |
|---|---|
| Image Sensor | 1/1.8” CMOS |
| Shutter Mode | Single shutter |
| Electronic Shutter Speed | 1/25 s–1 / 100000 s (manual/auto) |
| Exposure Mode | Full auto, customised auto, customised |
| Iris Control | Fixed iris / manual iris / auto iris / P iris |
| Image Resolution | 2688 × 1520 (OSD black strip excluded) |
| Video Resolution | 4M (2688 × 1520) / 1080P (1920 × 1080) / UXGA (1600 × 1200) / 720P (1280 × 720) / D1 (704 × 576) / CIF (352 × 288) |
| Video Frame Rate | Maximum 25fps; main stream (2688 × 1520@25fps), sub stream (1600 × 1200@25fps) |
| Video Bit Rate | H.264: 32kbps – 32767kbps H.265: 32kbps – 32767kbps MJPEG: 512kbps – 32767kbps |
| Video Compression | H.265 / H.264M / H.264H / H.264B / MJPEG |
| Picture Encoding Format | JPEG |
| WDR | 90 dB |
| White Balance | Auto / outdoor / manual / local white balance / natural light / street light |
| Noise Reduction | 2DNR / 3DNR |
| HLC | Yes |
| Bad Pixel Correction | Yes |
| Edge Enhancement | Yes |
| Illuminator Number | 4 illuminators (850nm IR LED illuminators, brightness adjustable) |
| Function | |
| Composite Image | Supports composing 1, 2, 3, or 4 pictures |
| Trigger Mode | Video detection / radar |
| OSD Overlay | Motor vehicles: Time, location (video channel location), lane (number, direction), plate (number and colour), speed, region, vehicle colour, vehicle logo, vehicle type Non-motor vehicles: Helmet, passenger overloading |
| Storage | FTP, TF card (maximum 256GB@Class10) |
| Alarm Event | Storage full, storage error, external alarm, no storage card, license plate blocklist, illegal access, network disconnection, IP conflict, Automatic Network Replenishment (ANR) Platform, FTP (TF card required) |
| Image Tampering Prevention | Yes. Watermark and verification are available for videos and pictures |
| Time Synchronisation | Yes. NTP |
| Security | Authorised username and password, MAC address binding, HTTPS encryption, network access control |
| Drawing Detection Line | Supports automatically drawing detection lines |
| Auto Registration | Yes |
| Intelligence | |
| Target Detection | Motor vehicles and non-motor vehicles |
| 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 |
| 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 |
| Vehicle Colour Recognition | White, pink, black, red, yellow, grey, blue, green, amber, purple, brown, silver grey (colour cannot be recognised in IR mode during nighttime) |
| Motor Vehicle Violation Capture | Overspeed, under-speed, wrong-way driving, illegal lane change |
| Non-motor Vehicle Violation Capture | Overloading, not wearing a helmet |
| 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 |
| Traffic Event Detection | Parking violations of motor vehicles, wrong-way driving, traffic congestion |
| Video Metadata | Motor vehicle: License plate, vehicle type, vehicle colour, license plate colour, vehicle logo, and more (colour cannot be recognised in IR mode during nighttime) Non-motor vehicle: Type (two-wheelers, three-wheelers), colour, wearing a helmet or not, passenger (1, 2, 3, or more passengers) |
| Port | |
| Network | 1 RJ-45 Ethernet port, 10/100/1000M network transmission |
| Storage | 1, supports maximum 256GB TF card local storage |
| RS-485 | 1, connecting to devices such as radar |
| RS-232 | 2 ports. G T R for serial debugging, and G T1 R1 for connecting to radar |
| Alarm Input | 3 channels |
| Alarm Output | 2 channels. 1 for relay, and 1 for optocoupler |
| Audio Input | 1 |
| Audio output | 1 |
| General | |
| Power Supply | 12V DC, 36V DC, PoE |
| Power Consumption | ≤ 8W |
| Operating Temperature | −40°C to +65°C (−40°F to +149°F) |
| Operating Humidity | 10%–90% |
| Protection Grade | IP67 |
| Dimensions | 466.4 mm × 135.8 mm × 134.1 mm (18.36” × 5.35” × 5.28”) (L × W × H) |
| Net Weight | 2.8 kg (6.17 lb) |
| Gross Weight | 4.5 kg (9.92 lb) |
| Certifications | CE, FCC, UL |
| Installation | Supports installation with universal mounting bracket, or side-mounted on pole with mounting bracket |
| Lens | Built-in 10 mm – 40 mm motorised vari-focal lens |
