ITC-EYE TRIPOD
MOBILE AUTOMATIC VEHICLE AND LICENSE PLATE RECOGNITION AND RECORDING SYSTEM ITC-EYE TRIPOD
OPERATING PRINCIPLE
Combined video unit (one or several, depending on delivery set) is placed on the side of the road, so that passing vehicles go through the control zone of the unit. Control zone of a single video unit may be between one and four lanes broad. Video unit is supplemented by IR projector for illuminating license plates in poor lighting conditions. Video unit creates video footage of the control zone and transmits it to computing unit for further processing. «ITC-EYE™» software, installed to the computing unit performs recognition of license plates within the control zone and performs certain other pre set tasks:- Detection of traffic violations and recording of photo/video evidence;
- Evidence storage;
- Cross checking of recognized license plates against connected databases;
- Notifying the operator about detected events;
- Transfer of gathered violation data to law enforcement agencies.
EXTERNAL VIEW OF THE SYSTEM
FUNCTION OF THE SYSTEM
System performs automatically detects traffic violations and records photographic and video evidence. System automatically scans and recognizes front and rear license plates of all vehicles within the control zone of a video unit. Information about each detected vehicle is automatically stored and archived. There is only one log entry that corresponds to a each detected vehicle.BASIC TECHNICAL DETAILS
| Parameter | Value |
| Length of the control zone of a single video unit, m | 4 – 30 |
| Power supply voltage, V | 12 |
| Dimensions (length x width x height), mm, not exceeding: | 355x220x170 |
| Weight, kg, not exceeding: | 7,6 |
| Operating conditions: – ambient temperature, °С | -40 – +50 |
| Average time to failure, h, no less then | 35000 |
| Average service life, years, no less then | 3 |
LICENSE PLATE RECOGNITION PARAMETERS
LICENSE PLATE RECOGNITION PROBABILITY
| Parameter | Value |
| Probability of complete license plate recognition (moving or static vehicle) | No less then 90 % |
| Probability of conditional license plate recognition (moving or static vehicle) | No less then 92 % |
| Recognition error probability | No more then 4 % |
| Vehicle omission probability | No more then 4 % |
| Probability of duplicate or phantom appearance | No more then 0,1 % |
LICENSE PLATE RECOGNITION CONDITIONS
| Parameter | Value |
| License plate placement area within a frame | 100 % |
| Vertical size of a character in an image, pics. | No less then 8 |
| Vehicle speed range within control zone of the system (oncoming and moving away), km/h | 0 to 255 |
| Contrast of license plate (system determined) | No less then 10% |
| Area of uneven soiling of the license plate (system determined) | No more then 12% |
| Illumination of license plate within control zone, lux | No less then 50 |
| Distance from video unit to license plate within control zone, m | 12 to 120 |
| License plate deviation, ° – Left or right, relative to optical axis of a video unit – Up or down, relative to optical axis of a video unit – Around optical axis of a video unit | No more then 30 No more then 20 No more then 10 |
RECOGNITION QUANTITY PARAMETERS
| Parameter | Value |
| Number of simultaneously recognized license plates within one frame | No less then 20 |
| Number of simultaneously connected license plate types | No less then 50 |
| Total number of supported license plate types | No less then 283 |
VEHICLE DETECTION
System detects and records all vehicles within the control zone, including ones without license plate or with unrecognizable license plates. System automatically classifies vehicles by type, according to the table below.VEHICLE TYPES
| Type | Название | Описание |
| Т1 | Motorbike | Motorbike, scooter |
| Т2 | Light | Light vehicles, minibuses, trucks below 3.5 t. |
| Т3 | Heavy | Trucks above 3.5. t, buses, tractors |
| Т4 | Road-train | Trucks with trailer or semitrailer |
- Image of the license plate;
- Two images of the vehicle;
- General view at the moment of detection;
- Alphanumeric sequence of the license plate, with type and nationality indicated (if license plate is present);
- Record date and time;
- Coordinates of the location (address, if address detection function is enabled);
- Vehicle type (see table).