Create AI CM:weapon task

This algorithm identifies the presence of weapons in a video. Generic info about all capabilities and limits see in the generic “Content Moderation” method. What is Weapon detection? AI-powered weapon detection in videos opens up numerous possibilities for enhancing security, content moderation, and user safety. Commonly used for scanning UGC for inappropriate content. Uses cases:

• Content Moderation: Implement weapon detection in social media or video sharing platforms to automatically flag and review harmful content.
• Event Security: Use in surveillance systems at public events to enhance security measures through real-time threat detection.
• Personal Safety Apps: Develop apps that allow users to scan their environment for potential threats using their mobile devices. Weapon types can be detected:
• gun
• heavy weapon
• knife How to use? Using our API you can integrate AI services that handle weapon detection into you business logic of website or mobile app. The information is returned with the video frame number where it was found and probability of the detected object. Identification is done using AI, so for each object a probability percentage is applied; objects with a probability of at least 30% are included in the response. Video processing speed is approximately 1:5. Example of a detected weapon:

{
"`weapon_detected`": true,
"`detection_results`": [ "heavy-weapon" ],
"frames": [
{
"label": "heavy-weapon",
"`frame_number`": 1,
"confidence": 0.58
},...
]
}

Example response when weapons were not found:

{
"`weapon_detected`": false,
"`detection_results`": []
"frames": []
}

Please note that the API only provides a set of data (json) about the objects found, so no video is generated. The demo video video (above ^) was specially created based on json from the API for visual demonstration and better perception of the possibilities.

POST /streaming/ai/tasks#cm_weapon

Create AI CM:weapon task

cURL

curl --request POST \
  --url 'https://api.gcore.com/streaming/ai/tasks#cm_weapon' \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "url": "https://demo-files.gvideo.io/ai_demo_weapon_detection.mp4",
  "task_name": "content-moderation",
  "category": "weapon"
}
'

201

{
  "task_id": "aafe70c6-0000-0000-0000-327b65f7670f"
}

Authorizations

Authorization · string · header · required

API key for authentication. Make sure to include the word apikey, followed by a single space and then your token. Example: apikey 1234$abcdef

Body

application/json

task_name · enum<string> · required

Name of the task to be performed

Available options: content-moderation

url · string · required

URL to the MP4 file to analyse. File must be publicly accessible via HTTP/HTTPS.

category · enum<string> · required

AI content moderation with weapon detection algorithm

Available options: weapon

client_user_id · string

Meta parameter, designed to store your own identifier. Can be used by you to tag requests from different end-users. It is not used in any way in video processing.

Maximum string length: 256

client_entity_data · string

Meta parameter, designed to store your own extra information about a video entity: video source, video id, etc. It is not used in any way in video processing. For example, if an AI-task was created automatically when you uploaded a video with the AI auto-processing option (nudity detection, etc), then the ID of the associated video for which the task was performed will be explicitly indicated here.

Maximum string length: 4096

Response

201

application/json

Response returns ID of the created AI task. Using this AI task ID, you can check the status and get the video processing result. Look at GET /ai/results method.

task_id · string<uuid> · required

ID of the created AI task, from which you can get the execution result