People Counting API

The People Counting API is an image processing tool that accurately detects and counts the number of people in an image. Bypassing an image to the API, users can quickly and easily obtain an accurate count of the number of people present in the image.

About the API:

The People Counting API is a powerful image processing tool that provides an accurate count of the number of people in an image. With the ability to detect and count the number of individuals present in an image, this API can be used in a wide range of applications, such as crowd management, event planning, and retail analytics.

One of the key benefits of the People Counting API is its ability to accurately count the number of people in an image in real-time. This can be useful in a variety of scenarios, such as monitoring the occupancy of a public space or event, or measuring the effectiveness of marketing campaigns in retail settings.

In retail settings, the People Counting API can be used to measure foot traffic and optimize store layouts. By analyzing customer traffic patterns and identifying peak periods, retailers can better understand customer behavior and make informed decisions about store design and marketing strategies.

The People Counting API can also be used in public safety and crowd management applications. For example, it can be used to monitor crowds at events, festivals, or public transportation hubs, to ensure that the number of people present does not exceed safe limits.

In addition, the People Counting API can be used in urban planning and transportation applications. By monitoring the number of pedestrians and vehicles present in a given area, city planners can make more informed decisions about infrastructure and transportation investments.

Overall, the People Counting API is a powerful tool that can be used in a wide range of applications to accurately count the number of people in an image. With real-time counting capabilities, this API can help improve safety, optimize retail spaces, and inform city planning and transportation decisions.

 

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

Pass an image from where you want to extract the number of people in it. Also, receive relevant information like gender and other information.

 

What are the most common uses cases of this API?

  1. Event planning: Organizers of large events can use the People Counting API to keep track of the number of attendees and ensure that they do not exceed capacity limits. This can help prevent overcrowding and ensure the safety of event-goers.

  2. Retail analytics: Retailers can use the People Counting API to track foot traffic and optimize store layouts. By analyzing customer traffic patterns and identifying peak periods, retailers can make informed decisions about store design and marketing strategies.

  3. Transportation planning: City planners can use the People Counting API to monitor the number of pedestrians and vehicles in a given area. This information can be used to inform transportation investments and improve traffic flow.

  4. Safety and security: The People Counting API can be used in public safety and security applications, such as monitoring crowds at events or in public spaces. By keeping track of the number of people present, authorities can ensure that the area is safe and secure.

  5. Workplace safety: Employers can use the People Counting API to monitor the number of people present in a workplace or other location to ensure that social distancing guidelines are being followed. This can help prevent the spread of infectious diseases and keep employees safe.

 

Are there any limitations to your plans?

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

API Documentation

Endpoints


Count & Analyze people in an image
the supported image format is JPEG and PNG

Output detected persons, with each people:

  • Bounding box coordinates (0 to 1 relative to image dimension) 0, 0 is the top left corner of the image while 1, 1 is the bottom right corner of the image
    • x1 & y1 is box top left point coordinate
    • x2 & y2 is box bottom right point coordinate
  • Estimated gender
  • Estimated person's attribute (Detect Gender and Hair)
  • Estimated Top and Bottom clothes color
  • Estimated apparels attribute (Detect bag, backpack, hat, long sleeves, long pants, and coat jacket)


                                                                            
POST https://zylalabs.com/api/1985/people+counting+api/1749/people+detection
                                                                            
                                                                        

People Detection - Endpoint Features

Object Description
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"status":"success","image_file_name":"https://gopostr.s3.amazonaws.com/binary_file_test_1749/hXhsw1jWLB4kCw4LgJY1oIfsALft5r9e5nZ8fnG4.jpg","number_of_people":2,"analysis_result":[{"bbox":{"x1":0.58824,"y1":0.06127,"x2":0.89706,"y2":0.94608},"attribute":{"topclothes_color":"#ffdeca","bottomclothes_color":"#f6d3b5","gender":"female","has_bag":false,"has_backpack":false,"has_hat":false,"has_longsleeves":false,"has_longpants":false,"has_longhair":false,"has_coat_jacket":true}},{"bbox":{"x1":0.05229,"y1":0.09314,"x2":0.79739,"y2":1.0},"attribute":{"topclothes_color":"#0b0300","bottomclothes_color":"#f8d1b2","gender":"female","has_bag":false,"has_backpack":false,"has_hat":false,"has_longsleeves":false,"has_longpants":false,"has_longhair":false,"has_coat_jacket":false}}],"latency_ms":123.62}
                                                                                                                                                                                                                    
                                                                                                    

People Detection - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/1985/people+counting+api/1749/people+detection' \
    --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 People Counting 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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