Universe

Head Detection (CCTV) Computer Vision Model

byTrisha ThenTask:
Object Detection
License:CC BY 4.05.33k views208 downloads

How to use the Head Detection (CCTV) Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="head-detection-cctv/1")
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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Head, person_head, person_vbox"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 
See all 743 imagesHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing person_head, person_vboxHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing person_head, person_vboxHead Detection (CCTV) Head sample showing HeadHead Detection (CCTV) Head sample showing person_head, person_vboxHead Detection (CCTV) Head sample showing person_head, person_vboxHead Detection (CCTV) Head sample showing person_head, person_vbox

About Head Detection (CCTV) Model

Here are a few use cases for this project:

  1. Surveillance and Security: This model could be used in security systems to monitor crowded areas like malls, airports, and railway stations. It can detect individuals even in crowded scenes, potentially identifying suspects or missing persons.

  2. Retail Analytics: The model can provide useful insights in retail settings, such as tracking customer movement patterns and identifying where they spend their time. This could help improve store layouts and marketing effectiveness.

  3. Occupational Health and Safety: In industrial or construction settings, the model could monitor workers to ensure they are wearing necessary safety gear like helmets, and alert supervisors if safety protocol isn't being followed.

  4. Crowd Management: During large events or in places with great crowd density, the model could assist in managing crowd movement to prevent stampedes or congestion and provide assistance when needed.

  5. Autism Therapy: The model can be utilized in therapy sessions for people with autism or social anxiety disorders where recognizing and interpreting head signals is part of the therapy. This can help provide feedback and improve the effectiveness of the treatment.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ head-detection-cctv_dataset,
  title = { Head Detection (CCTV) Dataset },
  type = { Open Source Dataset },
  author = { Trisha Then },
  howpublished = { \url{ https://universe.roboflow.com/trisha-then/head-detection-cctv } },
  url = { https://universe.roboflow.com/trisha-then/head-detection-cctv },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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