Traffic Lights Detection API

Traffic Lights Detection API - tLightsDet (also known as Traffic Lights Detection API or Traffic Lit Lights Detection API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing traffic lights and returns a JSON string which contains a base64 encoded string photo with rectangles drawn over Traffic Lit Lights, confidence score, timestamp, vertices for bounding boxes of Traffic Lit Lights. Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where the traffic lit lights are clear and focused. If the traffic lit lights is too small or blured, the accuracy is lower and the AI algorithm may not see the traffic light. We do not store pictures. Also, the quality and the angles of the camera are very important and it contribute to a higher reading accuracy. It varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.

Allthough this Automatic Traffic Lights Detection API (currently we do not offer a Traffic Lights Detection sdk) is intended for software development and therefore developers, we have also here an Traffic Lights Detection online application that may be used to check the input and output JSONs of the API. The necessary steps are written below, basically for this real time Traffic Lights Detection API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.

This Traffic Lights Detection API is useful for a large number of domains like apps for detecting: smart cities, drivers, pilots, navigators, automotive, transportation etc. You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.

For using our Traffic Lights Detection API and/or APP you must create an account (free of charge, no card required), activate it from your received email, login and then start your TRIAL package with no fees as you can see at our pricing packages. After you have tested the API and/or APP and you are satisfied, you may buy a paid package. You will always see at your Admin Console page the real resources consumption in real time, your invoices, you may see/edit/delete your profile or export log consents as GDPR instructed, you may read our FAQs.

Traffic Lights Detection APP

Photo File
Image URL(*)
* Let the "NO" value of Image URL if you upload a Photo File, otherwise write the image url like http://domainname.com/image.jpg



API Endpoint (method POST):
https://www.de-vis-software.ro/tlightsdet.aspx
Headers:
Authorization: Basic //Your username:password are base64 encoded string
Content-Type: application/json
Accept: application/json
JSON Request Body (change inputs here and see in real time below):
                   {
  "base64_Photo_String": "iVBORw0KGgoAAAA...base64 encoded string photo...GAAAAAElFTkSuQmCC",
  "photo_url": "NO"
}
               
JSON Response From API (change inputs here and see in real time below):
{
  "created": "2020-05-02T12:28:09.989Z",
  "predictions": [
    {
      "probability": 0.4453594,
      "tagId": "6b333d95-e461-4155-890c-9921158f7d17",
      "tagName": "Right Green",
      "boundingBox": {
        "left": 0.590857267,
        "top": 0.049960345,
        "width": 0.153553188,
        "height": 0.287757039
      },
      "boundingBoxPhoto": ""
    },
    {
      "probability": 0.6109611,
      "tagId": "6b333d95-e461-4155-890c-9921158f7d17",
      "tagName": "Ahead Red",
      "boundingBox": {
        "left": 0.241624564,
        "top": 0.2652982,
        "width": 0.137271315,
        "height": 0.2830975
      },
      "boundingBoxPhoto": ""
    }
  ],
  "final_photo": "iRRfdewqRA..final base64 encoded string photo with drawn bounding boxes...SwervasCC"
}
JSON Response (Example) From API in case of ERROR:

 [
  {
    "cd": "1001",
    "description": "The authorization header Is either empty Or isn't Basic"
  }
]

Request Parameters Table

Parameter Name
Parameter Description
base64ImageString
This is the input photo as base64 encoded string[string] from which will be detected and cropped Traffic Lights bounding boxes.
photo_url
This is the image url [string] used for the input photo. Its default value is NO because the above parameter base64_Photo_String is set. If this parameter is set to an image url, base64_Photo_String value must be NO.

Response Parameter Table

Parameter Name
Parameter Description
created  
This is the timestamp as  [string] at the moment that request is made.
final_photo 
This is the final photo base64 encoded string [string] upon which bounding boxes are drawn.
predictions
This is a list or array which contains the parameters explained below.
probability
This is the probability score [real] of the detected Traffic Lit Lights.
tagId
This is the tagId [string] for the detected Traffic Lit Lights. Example: 6b333d95-e461-4155-890c-9921158f7d17.
tagName
This is the tagName [string] for the detected Traffic Lit Lights. Example of tagName: Right Green.
boundingBox
This is an object that contains the below explained parameters.
left
This is the upper left coordinate [real] of the rectangular bounding box surrounding the detected Traffic Lit Lights.
top
This is the upper top coordinate [real] of the rectangular bounding box surrounding the detected Traffic Lit Lights.
width
This is the width [real] of the rectangular bounding box surrounding the detected Traffic Lit Lights.
height
This is the height [real] of the rectangular bounding box surrounding the detected Traffic Lit Lights.

Response Error Codes Table

Parameter Name
Parameter Description
cd

This is the error code which may be:

  • 1001
  • 1002
  • 1003
  • 1004
  • 1005
  • 1006
  • 1007
  • 1008
  • 1009
  • 1010
  • 1011
  • 1012
  • 1013
  • 1014
  • 1015
  • 1016
  • 2001
description

This is the description of the error code which may be:

  • 1001 - The authorization header is either empty or isn't Basic.
  • 1002 - Daily requests number exceeded in TRIAL mode!
  • 1003 - Trial expired!
  • 1004 - Requests number exceeded!
  • 1005 - Package expired!
  • 1006 - No invoice!
  • 1007 - Reader is NULL for TRIAL!
  • 1008 - Cannot Read if TRIAL exists!
  • 1009 - Error connecting to database looking for TRIAL! (and a detailed description message of the encountered error)
  • 1010 - Reader is NULL for Invoice!
  • 1011 - Cannot Read if Invoice exists!
  • 1012 - Error connecting to database! (and a detailed description message of the encountered error)
  • 1013 - Input request too long! Maximum 5 MB per request are allowed / Nothing to upload
  • 1014 - Invalid request data! (and a detailed description message of the encountered error)
  • 2001 - Invalid request data after passing to the API (and a detailed description message of the encountered error)

Source Code Examples for Using Our Traffic Lights Detection API

                       
Imports System
Imports System.Text
imports System.Collections.Generic
Imports System.Net
Imports Newtonsoft.Json

Public Class traffic_lights_detection_api
    Public Class ResponseFields
	 Public Property created As String
         Public Property predictions As New List(Of prediction)
         Public Property final_photo As String
    End Class

    Public Class prediction
	 Public Property probability As Single
         Public Property tagId As String
         Public Property tagName As String
         Public Property boundingBox As New boundingbox
         Public Property boundingBoxPhoto As String
    End Class

    Public Class boundingbox
	 Public Property left As Single
         Public Property top As Single
         Public Property width As Single
         Public Property height As Single
    End Class
    
    Public Class ErrorFields
        Public Property cd As String
        Public Property description As String
    End Class

    Protected Sub SendRequest()
        Dim Client As WebClient = New WebClient()
        Dim credentials As String = Convert.ToBase64String(Encoding.ASCII.GetBytes("your_username:your_password"))
        Client.Headers(HttpRequestHeader.Authorization) = String.Format("Basic {0}", credentials)
        Client.Headers(HttpRequestHeader.Accept) = "application/json"
        Client.Headers(HttpRequestHeader.ContentType) = "application/json"
	Client.BaseAddress = "https://www.de-vis-software.ro/tlightsdet.aspx"
        Dim resString As String = ""

        Try
            Dim js As String = "Replace this string with your JSON Request Body string like in the example above on the website"
            Dim reqString As Byte() = Encoding.UTF8.GetBytes(js)
            Dim url As Uri = New Uri(Client.BaseAddress)
            Dim resByte As Byte() = Client.UploadData(url, "post", reqString)
            resString = Encoding.UTF8.GetString(resByte)

	    If resString.IndexOf("predictions") > 0 Then
                Dim r As ResponseFields = New ResponseFields()
                r = JsonConvert.DeserializeObject(Of ResponseFields)(resString)
                Console.Write(resString)
            Else
		Dim e As list(of ErrorFields) = New list(of ErrorFields)
		e = JsonConvert.DeserializeObject(Of list(of ErrorFields))(resString)
                Console.Write(e(0).cd)
                Console.Write(e(0).description)
            End If

            Client.Dispose()
        Catch exception As Exception
            Dim ex As System.Exception = exception
            Console.Write("ERROR: " & resString & ex.Message)
        End Try
    End Sub

    Public Shared Sub Main()
	Dim b As traffic_lights_detection_api = New  traffic_lights_detection_api
        b.SendRequest()
    End Sub
End Class



tLightsDet Online Video Presentation

Traffic Lights Detection API, tlightsdet is in the video presentation below. There are several search terms which you may use like: Traffic Lights Detection sdk, Traffic Lit Lights Detection c#, Traffic Lights Detection online, automatic Traffic Lights Detection, Traffic Lights Detection python, Traffic Lit Lights Detection python, real time Traffic Lights Detection python, python Traffic Lights Detection, image processing Traffic Lights Detection.

 



Pricing Packages

Please choose one of the below pricing packages for start using our Traffic Lights Detection API and online APP!

Start TRIAL
No catches

  • 7 days TRIAL
  • Use our cloud REST API and online APP
  • Maximum 50 requests per DAY in trial period
  • You do NOT own the commercial copyright for using the API in your apps in trial period.
  • Get Traffic Lit Lights for each unit detected in one photo.
  • Get bounding boxes vertices for each Traffic Lit Lights detected.
  • Get confidence score for bounding boxes
  • Unlimited Devices
  • Administration console
  • Support through online chat and/or tickets
  • We do NOT allow spam accounts for TRIAL



Monthly TIER
Popular

  • 80 USD per month
  • Use our cloud REST API and online APP
  • Maximum 10000 predictions(*) per month
  • Maximum 50 requests per MINUTE
  • You own the commercial copyright to use it in your apps.
  • Get Traffic Lit Lights for each unit detected in one photo.
  • Get bounding boxes vertices for each Traffic Lit Lights detected.
  • Get confidence score for bounding boxes
  • Unlimited Devices
  • Administration console
  • Premium support through online chat and/or tickets, very supportive help and quick responses.



Yearly TIER
(15% Discount)

  • 816 USD per year
  • Use our cloud REST API and online APP
  • Maximum 10000 predictions(*) per month
  • Maximum 50 requests per MINUTE
  • You own the commercial copyright to use it in your apps.
  • Get Traffic Lit Lights for each unit detected in one photo.
  • Get bounding boxes vertices for each Traffic Lit Lights detected.
  • Get confidence score for bounding boxes
  • Unlimited Devices
  • Administration console
  • Premium support through online chat and/or tickets, very supportive help and quick responses.



Note: VAT rate may be added or not, function to your country and/or if you are a taxable person or company.
* Prediction - on the input photo may exist many predictions, each of it with certain amount of probability of detected Traffic Lit Lights. Even we filter the output predictions to those with probability score greater than 50%, for the input photo all predictions are counted.