Parking Places Detection API

The Parking Places Detection API is a machine learning-based tool that analyzes images to provide information about parking spots. With this API, users can easily determine which parking places are occupied and which ones are available. The tool is designed to help streamline parking management and make it easier for drivers to find open spots.

About the API:

The Parking Places Detection API is a powerful tool that utilizes the latest in machine learning technology to provide accurate information about parking availability. By analyzing images captured by cameras or other devices, this API is able to quickly determine which parking places are occupied and which ones are free.

One of the key benefits of the Parking Places Detection API is its ability to improve parking management and efficiency. With real-time information about parking availability, parking lot operators can better manage their facilities and ensure that drivers are directed to the most appropriate spots. This can help reduce congestion and ensure that parking is available when and where it is needed most.

In addition to helping parking lot operators, the Parking Places Detection API can also benefit drivers. By providing real-time information about parking availability, drivers can save time and reduce frustration by quickly identifying open parking spots. This can be especially helpful in busy urban areas where parking can be difficult to find.

The Parking Places Detection API is built using advanced machine learning algorithms that are designed to accurately identify parking spots in a wide range of environments. Whether the parking lot is outdoors or indoors, well-lit or dimly lit, the API is able to quickly and accurately detect parking spots and determine whether they are occupied or free.

One of the key advantages of the Parking Places Detection API is its ease of use. With a simple API call, developers can integrate this tool into their existing applications and start receiving real-time information about parking availability. This can help developers build more robust and efficient parking management solutions that are tailored to the needs of their users.

Overall, the Parking Places Detection API is a powerful tool that can help improve parking management and make life easier for drivers. By providing accurate and real-time information about parking availability, this API can help reduce congestion, improve efficiency, and make it easier for people to find the parking they need when and where they need it.

 

What your API receives and what your API provides (input/output)?

Pass the image file and receive the analysis of the parking places. Detect free ones and busy ones. 

 

What are the most common uses cases of this API?

  1. Parking lot management: Parking lot operators can use the API to monitor parking availability in real-time and optimize their operations accordingly. By identifying which spots are free or occupied, they can direct drivers to available spots and ensure that parking is being used as efficiently as possible.

  2. Navigation and mapping: Navigation apps can integrate the Parking Places Detection API to help drivers find available parking spots. This can be especially useful in congested urban areas where parking can be difficult to find.

  3. Smart city solutions: Cities can use the Parking Places Detection API to build smart parking solutions that help reduce congestion and improve parking availability. By collecting real-time data on parking availability, cities can better understand parking demand and plan infrastructure accordingly.

  4. Retail and entertainment venues: Retail stores, restaurants, and entertainment venues can use the Parking Places Detection API to provide their customers with real-time information about parking availability. This can help attract more customers and improve the overall customer experience.

  5. Parking enforcement: Law enforcement agencies can use the Parking Places Detection API to monitor parking violations and ensure that parking regulations are being followed. By identifying which spots are occupied and which ones are free, they can quickly identify vehicles that are parked illegally and take appropriate action.

 

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

API Documentation

Endpoints


The method returns busy/free parking places and some additional info.

 


                                                                            
POST https://www.zylalabs.com/api/1983/parking+places+detection+api/1747/detect+parking+spaces
                                                                            
                                                                        

Detect Parking Spaces - Endpoint Features

Object Description
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"pplaces":[{"isFree":false,"box":[366.232666015625,449.5229797363281,547.9935302734375,709.5628051757812],"confidence":0.8627669215202332},{"isFree":false,"box":[883.4615478515625,1045.0657958984375,1005.9860229492188,1309.46728515625],"confidence":0.8570082783699036},{"isFree":true,"box":[2360.625,1347.74072265625,2502.391845703125,1634.437255859375],"confidence":0.8533994555473328},{"isFree":true,"box":[2322.51708984375,514.58251953125,2443.53271484375,682.7705688476562],"confidence":0.8431298136711121},{"isFree":false,"box":[1470.3494873046875,1046.9967041015625,1617.59423828125,1282.3824462890625],"confidence":0.8408617377281189},{"isFree":false,"box":[2515.859375,1352.61083984375,2666.5556640625,1627.367431640625],"confidence":0.8367443680763245},{"isFree":false,"box":[2454.32958984375,476.2274169921875,2596.67919921875,719.2589111328125],"confidence":0.8308108448982239},{"isFree":false,"box":[1029.9306640625,1058.10400390625,1168.910400390625,1310.767578125],"confidence":0.8237144351005554},{"isFree":false,"box":[2182.391357421875,447.79827880859375,2340.9716796875,702.2438354492188],"confidence":0.8229444622993469},{"isFree":false,"box":[2776.60205078125,1047.9986572265625,2932.32421875,1317.785400390625],"confidence":0.8191892504692078},{"isFree":false,"box":[955.3985595703125,452.89459228515625,1088.97998046875,657.3233642578125],"confidence":0.8180476427078247},{"isFree":false,"box":[1094.144287109375,439.6179504394531,1231.641845703125,656.626953125],"confidence":0.8172044157981873},{"isFree":false,"box":[1759.106689453125,1061.3231201171875,1893.576171875,1300.7615966796875],"confidence":0.8067760467529297},{"isFree":true,"box":[2350.037841796875,1101.34326171875,2480.75341796875,1318.1424560546875],"confidence":0.8062723875045776},{"isFree":false,"box":[2497.983642578125,1057.310791015625,2645.433349609375,1310.3179931640625],"confidence":0.8057976365089417},{"isFree":false,"box":[561.15087890625,1338.33056640625,695.9114990234375,1580.2437744140625],"confidence":0.798017144203186},{"isFree":false,"box":[2205.845703125,1338.8690185546875,2363.177978515625,1631.19287109375],"confidence":0.7964199185371399},{"isFree":false,"box":[1774.220458984375,464.4984130859375,1900.8155517578125,655.19970703125],"confidence":0.7918203473091125},{"isFree":true,"box":[2048.608154296875,521.5349731445312,2169.361328125,680.0663452148438],"confidence":0.7879475951194763},{"isFree":true,"box":[2590.55029296875,515.0322265625,2710.34130859375,688.8360595703125],"confidence":0.7704062461853027},{"isFree":false,"box":[701.5193481445312,1341.0462646484375,856.2323608398438,1632.299560546875],"confidence":0.7597171068191528},{"isFree":false,"box":[1240.1085205078125,470.0216369628906,1359.852294921875,673.2089233398438],"confidence":0.7563475370407104},{"isFree":true,"box":[1615.9500732421875,1091.3548583984375,1745.90283203125,1288.0084228515625],"confidence":0.7483811974525452},{"isFree":false,"box":[1919.7838134765625,472.5652770996094,2040.6826171875,665.484130859375],"confidence":0.732255756855011},{"isFree":true,"box":[2867.903076171875,515.3382568359375,2996.98095703125,686.3763427734375],"confidence":0.7167089581489563},{"isFree":false,"box":[1780.738037109375,239.2073516845703,1995.3223876953125,354.99517822265625],"confidence":0.6914489269256592},{"isFree":true,"box":[2638.22998046875,1110.14501953125,2768.32177734375,1305.7388916015625],"confidence":0.6748510003089905},{"isFree":false,"box":[2727.468505859375,477.40655517578125,2869.347900390625,700.2045288085938],"confidence":0.6628875136375427},{"isFree":false,"box":[1769.1695556640625,1337.248291015625,1901.0406494140625,1594.754638671875],"confidence":0.632050633430481},{"isFree":false,"box":[912.6885986328125,240.27099609375,1117.5418701171875,368.4568786621094],"confidence":0.5971196293830872},{"isFree":true,"box":[831.1617431640625,499.7664489746094,952.5286254882812,662.1909790039062],"confidence":0.595177412033081},{"isFree":true,"box":[2042.101318359375,268.1251525878906,2199.02392578125,369.40264892578125],"confidence":0.5811294317245483},{"isFree":false,"box":[1003.4573974609375,1359.677490234375,1150.3675537109375,1659.074462890625],"confidence":0.5613752007484436},{"isFree":true,"box":[1512.1968994140625,503.09375,1630.1895751953125,665.604248046875],"confidence":0.5610040426254272},{"isFree":true,"box":[1926.656005859375,1337.9423828125,2170.537109375,1624.4949951171875],"confidence":0.5371890068054199},{"isFree":false,"box":[1127.0667724609375,241.4822998046875,1373.888916015625,350.7256164550781],"confidence":0.4721253514289856},{"isFree":true,"box":[2808.89794921875,1359.4962158203125,2979.42578125,1657.759033203125],"confidence":0.42059704661369324}],"state":{"freeCount":13,"busyCount":24,"model":"n3s_09042023"},"info":{"exectime":1.3104429244995117}}
                                                                                                                                                                                                                    
                                                                                                    

Detect Parking Spaces - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/1983/parking+places+detection+api/1747/detect+parking+spaces' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Parking Places Detection API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Parking Places Detection API FAQs

The API returns data about parking spaces, specifically indicating whether each space is free or occupied. It also provides bounding box coordinates for each space and a confidence score reflecting the accuracy of the detection.

The key fields in the response include "isFree" (boolean indicating availability), "box" (array of coordinates defining the parking space), and "confidence" (float representing the detection accuracy).

The response data is structured as a JSON object containing an array called "pplaces." Each element in this array represents a parking space with its availability status, bounding box, and confidence score.

The endpoint provides information on the availability of parking spaces, including which spots are free or occupied, their spatial coordinates, and the confidence level of each detection.

Users can customize their requests by adjusting the image input sent to the API. The API analyzes the provided image to detect parking spaces, so different images will yield different results based on the parking layout.

Typical use cases include real-time parking management for operators, integration into navigation apps to guide drivers to available spots, and smart city solutions for urban planning and congestion reduction.

Data accuracy is maintained through advanced machine learning algorithms that are trained on diverse datasets. Continuous updates and improvements to the model help enhance detection capabilities across various environments.

Users can expect a mix of occupied and free parking spaces in the response. The confidence scores will vary, indicating the reliability of each detection, with higher scores suggesting greater accuracy in identifying space availability.

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