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Pay Station Self-service Payment Machine Payment Kiosk Machine for Parking System
Parking self-service payment machine is based on the Android platform, Android 5.1 system for the development of the model, integrated printer, QR code scanner, voice communications, banknote cash machine and other functions, can improve the efficiency of charges, improve the level of information management, applicable to all types of paid parking lots.
The main payment procedures are as follows (take license plate recognition as an example):
For car owners who park temporarily, after the vehicle detector detects the vehicle, the entrance camera will automatically recognize the license plate number and write it into the system database. The system will automatically open the brakes and enter the parking lot. When you leave the venue, you must go to the self-service payment machine to pay, operate, and enter the license plate number on the display (fuzzy query), click query to display the photo of the vehicle entering the venue, and click the license plate photo to enter the vehicle details (display the entry time and the amount of fees payable) , Confirm the payment, select the payment method (cash payment, QR code payment, credit card payment)
1. Click on cash payment: Put the banknotes neatly into the banknote machine until the display shows that the amount of banknotes is equal to or greater than the amount payable (if you need to change, it will be changed in coins),
, That is, the payment is successful, the receipt printing confirmation box will pop out (whether to print the receipt), click confirm to print the receipt
2. Click the QR code to pay: the screen displays the QR code, mobile Ali pay or We Chat scans any QR code to pay, the payment is successful, the payment is successful, the self-service payment machine pops out the receipt printing confirmation box (whether to print the receipt), click confirm Print receipt
3. Click on the card payment: insert the bank card in the correct direction, the card number and the amount to be deducted will be displayed on the screen, click to confirm the payment, and enter the bank card password (type the password in the password keyboard), the bank card deduction is successful, the payment is successful, and the receipt will be popped out Print the confirmation box (whether to print the receipt), click confirm to print the receipt.
LPR or ANPR (License plate recognition) technology can extract and recognize vehicle license plates in motion from a complex background, and recognize vehicle license plate information through technologies such as license plate extraction, image preprocessing, feature extraction, and license plate character recognition.
LPR or ANPR (License plate recognition) technology can extract and recognize vehicle license plates in motion from a complex background, and recognize vehicle license plate information through technologies such as license plate extraction, image preprocessing, feature extraction, and license plate character recognition.
What is LPR(License Plate Recognition) Technology?
License plate recognition(ANPR/ALPR/LPR) is one of the important components in modern intelligent transportation parking systems, and it is widely used.
Based on technologies such as digital image processing, pattern recognition, and computer vision, it analyzes the vehicle images or video sequences taken by the camera
to obtain the unique license plate number of each car to complete the recognition process.
Process description:
Entry: the license plate recognition camera captures an image by means of vehicle head detection or loop coil trigger, and the image is transmitted to the software.
The software algorithm recognizes the image, writes the recognition result into the database and returns it to the camera, and the camera sends the switch signal to
barrier switch.
Exit: the license plate recognition camera captures an image by means of vehicle head detection or loop coil trigger, and the image is transmitted to the software.
The software algorithm recognizes the image, outputs the recognition result and compares it with the entrance recognition result in the database. The comparison is
successful and the result is returned to the camera.
Hardware part introduction
1.Functions and features of each component
1) Camera: it mainly captures pictures, which are sent to the software for recognition. There are two ways to trigger the camera to capture pictures.
One is that the camera itself has a head-detection function, and the other is that the car is triggered by the loop coil when vehicle pass to capture the picture.
2) Display screen: you can customize the display contents of the display screen.
3) Column: the column and the appearance of the product are formed by cold-rolled iron sheet, strong and waterproof.
4) Fill light: With an automatic light sense < 30Lux, the light will be automatically opened according to the surrounding environment of the project site, and will remain
bright until the supplementary light detects that the surrounding environment becomes brighter, and the light sense will be automatically closed when it is greater than 30Lux.
Software part introduction
ALPR software interface-multiple languages
Software function introduction
1) The recognition module is built into the parking lot software, which can recognize the license plates of
123 countries and regions and output the results.
2) Parking software, which can manage the whole parking lot from entrance and exit to charging.
3) Set permissions for operators who manage parking lots.
4) Set the charging rules of the parking lot,input them into the system and charge them automatically.
5) Monitor the movement of vehicles in and out.
6) Keep a record of vehicle movements.
7) Form the report summary of vehicle access management, fee management and parking management.
8) The best solution of a set of parking software is to manage the parking lot with one in and one out. It can
also be used for two in and two out.If beyond this range, it may affect the efficiency of management or cause
the situation of stagnation, which also depends on the actual use of computers and the amount of vehicles.
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