Detect objects in images and videos
Generic YOLO Models Trained on COCO
Detect objects in an image
Detect face masks in images
Detect objects in an image
Draw a box to detect objects
Identify objects in images
Upload images to detect objects
Detect objects in images and return details
Detect objects in images
Track objects in live stream or uploaded videos
Identify segments in an image using a Detectron2 model
Upload an image to detect objects
The Mask Wearing Detection App is an AI-powered object detection tool designed to identify whether individuals in images or videos are wearing masks. It leverages advanced computer vision algorithms to detect faces and determine if a mask is present, making it a valuable solution for public health and safety applications.
• Real-Time Detection: Analyze live video or camera feeds to detect mask usage instantly.
• Image/Video Analysis: Process uploaded images or video files to check for masks.
• High Accuracy: Utilizes AI and machine learning algorithms for accurate detection.
• Multi-Face Detection: Detects and evaluates mask usage for multiple individuals in a single frame.
• User-Friendly Interface: Easy-to-use design for both real-time and offline analysis.
• Customizable Alerts: Receive notifications when masks are not detected in specified zones or conditions.
1. How does the app detect masks?
The app uses advanced AI and machine learning algorithms to detect faces and identify whether a mask is present.
2. Can the app work with existing photos or videos?
Yes, the app supports both real-time detection and analysis of uploaded images and video files.
3. Is the app reliable in all lighting conditions?
The app works best in well-lit conditions with clear facial visibility. Poor lighting or obstructions may affect accuracy.
4. How do I get notified when masks are not detected?
Enable customizable alerts in the app settings to receive notifications when no masks are detected in specified zones or conditions.
5. Can the app detect masks on multiple people at once?
Yes, the app can detect and evaluate mask usage for multiple individuals in a single frame simultaneously.