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Use dashboard surveillance cameras as an input to the model to deploy the solution in real time and get started instantly without any additional setup required.
Get notified whenever a driver distraction is detected on screen in real time. Verify and take the required action accordingly.
Use ML models to detect when eyes stay close for too long and alert the driver to take a rest.
Deploy ML models on prem for better inferential speeds of the models and also preserving privacy of the person in the video feed.
Count the number of object in a scene with the help of machine learning models pretrained for detecting and counting specific objects within a video feed or an image.
Train models on custom images to modify them according to the particular use case within an industry.
Detect a person falling using computer vision machine learning models in real-time through video feeds in a region.
Deploy the model to detect falls and send immediate help whenever it is required using ANAI’s Fall Detection CV models.
Blur Faces of the subjects in a video feed using face detection and anonymization tool with ANAI.
Deploy other CV tasks in a public environment without compromising on the privacy of the subjects in the video feed.