below 600
> 600
| > 768px
| > 992px
| > 1200px
HTML
HTTP
WWW
NUMBER PLATE DETECTION
HOTELS
HOSPITALS
SCHOOLS
WAREHOUSES
GATED COMMUNITIES

Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. ANPR is used by police forces around the world for law enforcement purposes, including to check if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloguing the movements of traffic, for example by highways agencies.

In addition to government facilities, many private sector industries with facility security concerns are beginning to implement ANPR solutions. Examples include casinos, hospitals, museums, parking facilities, and resorts. In the US, private facilities typically cannot access government or police watch lists, but may develop and match against their own databases for customers, VIPs, critical personnel or "banned person" lists. In addition to providing perimeter security, private ANPR has service applications for valet / recognized customer and VIP recognition, logistics and key personnel tracking, sales and advertising, parking management, and logistics

HOW DOES IT WORK - STEP 1
Cameras are setup at point of entry / exit of the premises
HOW DOES IT WORK - STEP 2
Pictures of the number plate and the vehicle are captured by camera and sent to ANPR Server.
HOW DOES IT WORK - STEP 3
The ANPR software uses OCR (Optical Character Recognition) technology to read the license number from the piucture
HOW DOES IT WORK - STEP 4
Alogirithms can be set into the ANPR software to determine breach of rules by a vehicle. If the ANPR software determines a breach of rules, the vechicle number and picture is flagged to a staff member for further review.Data captured by ANPR is stored in database for further analytics.
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