A.V. Techno Soft India Private Limited

Parameters

• LICENSE PLATE RECOGNITION SPECIFICATIONS

   

• Platform

  HiCV500

• Classification

  License plate number

• License Plate Number Recognition Accuracy Rate

  Day ≥ 99%, night ≥ 99%

• Adaptable Speed of Car

  Up to 40 km/h

• Recognition Distance

  3m to 10m (the recommended distance is 3m to 5m)

• Output Information

  License plate number, License plate picture, Access time

• Supported Regions

  Thailand, Argentina, Mexico, Chile, Colombia, Saudi Arabia, Brazil, Peru, Mongolia, Turkey, Egypt, Korea, Mainland China, Indonesia, United Arab Emirates, Myanmar, Spain, Russian, Vietnam, Cambodia, etc.

• Allowlist

  1,000

• Blocklist

  1,000

• Monthly Parking

  8,000

• Entry and Exit Records

  10,000

• Captured Pictures

  10,000

• CPU

  Dual-core CPU A7@900MHz, 0.5TOPS

• Flash

  128MB

• Image Sensor

  1/2.8" 3MP CMOS sensor

• Illumination

  0.1Lux (Default)

• Camera Lens

  Autofocus (from 3.2mm to 11.1mm)

• Resolutions

  2304 * 1296P, 1920 * 1080, 1280 * 720P, 704 * 576P

• Compression

  H.264 / H.265 / MJPEG

• Frame Rate

  1 to 25 frames, 25 frames by default (1920 * 1080 pixels)

• Pixels

  3MP

• Communication Protocol 

  TCP/IP (10/100Mbps), RTSP, ZKTECO, P2P, PUSH

• I/O Interface

  Two relays, RS485, AUX I/O, Barrier status input, Wiegand in and out

• SD Storage

  Default 8GB, maximum support 128GB

• Picture Format

  JPG

• Recognition Trigger

  Video trigger (by default), loop detection

• Protection Level

  IP65

• Working Voltage

  12V DC

• Power

  ≤ 7.5W

• Operating Temperature

  -30°C to 70°C

• Operating Humidity

  ≤ 90%

• Dimensions

  460 * 156 * 120 (mm)

• Weight

  2.5kg

What is ANPR?
Automatic Number Plate Recognition (ANPR), also known as Automatic License Plate Recognition (ALPR), is software used to recognize the number plates automatically by performing sophisticated optical character recognition on images to read the license plates of vehicles.  
A typical ANPR solution takes an image as input and returns the decoded vehicle plate, timestamp and confidence level of the decoding algorithm.  The image is analyzed in as fast as 20 to 50 milliseconds to enable real-time surveillance.


Here is our 5 step process to improve ANPR:
DEFINE LICENSE PLATE VARIATIONS.  We began our journey by spending a lot of time assessing all the license plate variations across the different regions of India. We learned that the plates were as diverse as the people groups, languages and cultures within the country!CREATE REGEX.  For each license plate variation, we created the plate’s regex (tech term for regular expression). We also analyzed and defined the font type and font size of each license plate type.GET SAMPLE IMAGES OF INDIA LICENSE PLATES.  Thanks to our partners in India, we received and manually processed thousands upon thousands of images of real-life India license plates and fed that into our ANPR engine. The images contained mopeds, motorcycles, aged vehicles, new sedans, station wagons, minivans, light-weight trucks, semi-trailer trucks, flatbed trucks, buses and more.ANALYZE LICENSE PLATE PATTERNS. Our plate recognition engine matched the regex to each plate type and image. This allowed us to “educate” the engine with specific parameters that pertain to that vehicle and plate type.ASSESS IMPROVEMENTS. Once a pattern has been established, we reran the base images through the ANPR engine to see what improvements were realized.Over the course of several months, we iterated each day and found small, but encouraging improvements to the ANPR accuracy rates. Little by little, plate by plate, we inched up the ladder.
As we saw the improvements, we applied our global set of algorithms to compensate for the photo quality and lighting conditions. This allowed our number plate recognition engine to improve its accuracy for low resolution, blurry and dark images.
After months of intense work, we were able to take our ANPR accuracy rates to upwards of 90%. Depending on the environment and situation (e.g. parking lot in city center), our customers are seeing over 95% ANPR accuracy for India.

Core Features  :- Smart Dashboard : The Data Can Be Looked Upon From 360 Degrees And The In-Built Reports Help In Extracting Data In All Desired Formats Including PDF, Excel, And CSV.
Feature Rich : Get The Best From Our Advanced Video Processing Engine, Valuable Information Like Vehicle Class, Color, And Make & Model Along With Vehicle Registration Number.
Platform Independent : The ANPR Can Run Efficiently On LINUX, WINDOWS, And MACS. The Cloud API Can Be Easily Integrated With Any Platform Without Much Effort.
Video Mining : In Order To Extract Valuable Information About The Vehicles, The ANPR Application Can Accept Video From The External Storage Device.
Vehicle Hot-listing : The System Keeps Adding The New Vehicles Into The List And As Soon As Any Of The Vehicles From The List Are Captured, The Alerts Are Sent Via Emails.
Engineers Support : Our Support Team Is Available 24/7 To Assist With All Your Queries In Order To Make Sure That The Application Is Working Smoothly Round The Clock.