🇹🇭API Documentation for Thai LPR

Postman Example:

https://www.getpostman.com/collections/6c040f0d4770a27b84a4

1. (On-Cloud, On-Premise) Image License Plate Recognition

• On Cloud - one request at a time.

• On Premise - unlimited requests.

• API sends external requests to the LPR system.

Input Image (Sample)

Post Image

POST https://api.iapp.co.th/license-plate-recognition/file

This endpoint allows you to send a picture that consists of minimum one vehicle that OCR must be performed. The Response will be the licence plate number of the vehicle(s) on the picture.

Headers

Name	Type	Description
apikey*	string	Your API key to call this API

Request Body

Name	Type	Description
vehicle_image*	object	Picture consists of a vehicle

200: OK License plate recognition successful.

{
    "conf": 94.56048584,
    "infer_time(s)": 0.1770620346069336,
    "is_missing_plate": "no",
    "is_vehicle": "yes",
    "lp_number": "6กผ40",
    "message": "success",
    "province": "th-10:Bangkok (กรุงเทพมหานคร)",
    "status": 200,
    "vehicle_body_type": "sedan-compact",
    "vehicle_brand": "nissan",
    "vehicle_color": "white",
    "vehicle_model": "nissan_sentra",
    "vehicle_orientation": "0",
    "vehicle_year": "2015-2019"
}

404: Not Found Could not recognize the license plate.

{    
    "message": "Couldn't recognize the license plate"
    "status": 404   
}

415: Unsupported Media Type File Extension is not allowed

{    
    "message": "File Extension is not allowed"
    "status": 415   
}

This endpoint allows you to send a picture that consists of minimum one vehicle that OCR must be performed. The Response will be the licence plate number of the vehicle(s) on the picture.

Parameter	Type	Description	Required
apikey	string	Your API key to call this API	Required
file	string	Picture consists of a vehicle	Required

Response Explanation

Parameters	Explanation
conf	Confidence score of the license plate recognition in percentage.
infer_time(s)	Time taken for inference in seconds.
is_missing_plate	Indicates if there is a license plate missing in the image. Possible values: "yes" or "no".
is_vehicle	Indicates if a vehicle is present in the image. Possible values: "yes" or "no".
lp_number	License plate number recognized from the image.
message	API response message. Possible values: "success" or "error".
province	Province of the registered vehicle as identified by the license plate.
status	HTTP status code of the API response.
vehicle_body_type	Body type of the recognized vehicle.List of Supported Body Type
vehicle_brand	Brand of the recognized vehicle. List of Supported Vehicle Brand
vehicle_color	Color of the recognized vehicle. List of Supported Color
vehicle_model	Model of the recognized vehicle. List of Supported Vehicle Model
vehicle_orientation	Orientation of the recognized vehicle in the image. List of Supported Orientation
vehicle_year	Year range of the recognized vehicle model. List of Supported Year Ranges

Sample Response

200: OK

{
    "conf": 94.56048584,
    "infer_time(s)": 0.1770620346069336,
    "is_missing_plate": "no",
    "is_vehicle": "yes",
    "lp_number": "6กผ40",
    "message": "success",
    "province": "th-10:Bangkok (กรุงเทพมหานคร)",
    "status": 200,
    "vehicle_body_type": "sedan-compact",
    "vehicle_brand": "nissan",
    "vehicle_color": "white",
    "vehicle_model": "nissan_sentra",
    "vehicle_orientation": "0",
    "vehicle_year": "2015-2019"
}

404: Not Found

{    
    "message": "Couldn't recognize the license plate"
    "status": 404   
}

415: Unsupported Media Type

{    
    "message": "File Extension is not allowed"
    "status": 415   
}


{    
    "message": "Attach one image at a time"
    "status": 462   
}


{    
    "message": "Method is not allowed",
    "status": 415   
}

Sample Request

Python

import requests

url = "https://api.iapp.co.th/license-plate-recognition/file"
path = "path/to/your/input/image"
file_name = "your input image name"

payload={}
files=[
  ('file_name',(path, 'rb'), 'image/jpeg'))
]
headers = {
  'apikey': '----Your API Key----'
}

response = requests.request("POST", url, headers=headers, data=payload, files=files)

print(response.text)

cURL

curl --location --request POST 'https://api.iapp.co.th/license-plate-recognition/file' \
--header 'apikey: ----Your API Key----' \
--form 'your input image name=@"/path/to/your/input/image.jpg|jpeg|png"'

Java - Unirest

Unirest.setTimeouts(0, 0);
HttpResponse<String> response = Unirest.post("https://api.iapp.co.th/license-plate-recognition/file")
  .header("apikey", "----Your API Key----")
  .field("your input image name", new File("/path/to/your/input/image.jpg|jpeg|png"))
  .asString();

NodeJS - Request

var request = require('request');
var fs = require('fs');
var options = {
  'method': 'POST',
  'url': 'https://api.iapp.co.th/license-plate-recognition/file',
  'headers': {
    'apikey': '----Your API Key----'
  },
  formData: {
    'file': {
      'value': fs.createReadStream('/path/to/your/input/image.jpg|jpeg|png'),
      'options': {
        'filename': 'your input image name',
        'contentType': null
      }
    }
  }

Objective C

#import <Foundation/Foundation.h>

dispatch_semaphore_t sema = dispatch_semaphore_create(0);

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"https://api.iapp.co.th/license-plate-recognition/file"]
  cachePolicy:NSURLRequestUseProtocolCachePolicy
  timeoutInterval:10.0];
NSDictionary *headers = @{
  @"apikey": @"----Your API Key----"
};

[request setAllHTTPHeaderFields:headers];
NSArray *parameters = @[
  @{ @"name": @"your input image name", @"fileName": @"/path/to/your/input/image.jpg|jpeg|png" } 
];

2. (On-Premise only) Live Camera License Plate Recognition

• On premise only.

• LPR system post's detection to a specific URL internally.

• External post requests to LPR system is not available in this version.

Post Detection Results

POST https://{URL}/new-detection/license-plate-number/

This endpoint allows you to save your detection according to the number of seconds you choose the results to be saved on the GUI or configuration file.

Request Body

Name	Type	Description
Output_image	object	Vehicle frame printed with detected parameters.
lp_number*	string	License plate number. (Thai letters + Numbers)
vehicle_type	string	Bus, truck, car, pickup, van, SUV...
vehicle_brand	string	Toyota, Nissan, Mazda, Mercedes-Benz...
vehicle_color	string	RGB Format. (1 sec delay added)
province*	string	License plate registered province.
date_time*	string	Vehicle detected date and time
source*	string	Camera port or a video file or live stream URL
nickname_source*	string	Front-camera, Back-camera, My-camera, My-video...

200 Detection saved successfully.

{    "lp_number": "มข4320",    
     "vehicle_type": "car",    
     "vehicle_brand": "toyata",    
     "vehicle_color": "unknown",    
     "province": "กรุงเทพมหานคร",    
     "date_time": "2021 September 20 Monday at 16:34:34",    
     "source": "test/book.mp4 is a video file",    
     "name_source": "book"     
}

404 Could not recognize the license plate.

{    
    "message": "No vehicle detected."
    "message": "No license plate detected."
    "message": "Couldn't recognize the license plate"
}

This endpoint allows you to save your detection according to the number of seconds you choose the results to be saved on the GUI or configuration file.

Parameter	Type	Description	Rquired
output_image	object	Vehicle frame printed with detected parameters.	Optional
lp_number	string	License plate number. (Thai letters + Numbers)	Rquired
vehicle_type	string	Bus, truck, car, pickup, van, SUV...	Optional
vehicle_brand	string	Toyota, Nissan, Mazda, Mercedes-Benz...	Optional
vehicle_color	string	RGB Format. (1 sec delay added)	Optional
province	string	License plate registered province.	Required
date_time	string	Vehicle detected date and time	Optional
source	string	Camera port or a video file or live stream URL	Rquired
nickname_source	string	Front-camera, Back-camera, My-camera, My-video...	Rquired

200: OK

{    "lp_number": "มข4320",    
     "vehicle_type": "car",    
     "vehicle_brand": "toyata",    
     "vehicle_color": "unknown",    
     "province": "กรุงเทพมหานคร",    
     "date_time": "2021 September 20 Monday at 16:34:34",    
     "source": "test/book.mp4 is a video file",    
     "name_source": "book"     
}

404: Not Found

{    
    "message": "No vehicle detected."
    "status": 404
}


{    
    "message": "No license plate detected."
    "status": 404
}


{    
    "message": "Couldn't recognize the license plate"
    "status": 404
}