220530_no_dks_lab Computer Vision Project

Here are a few use cases for this project:

1. Advanced Robotics: This model could be integrated into robotic systems to identify different types of obstacles. It would be particularly useful in the development of autonomous robots, enabling them to avoid colliding with humans, other robots, or to correctly identify and negotiate different types of obstacles (e.g., dks, backdks).

2. Safety Monitoring Systems: It could be used in safety monitoring systems in factories, warehouses, or public areas. The model could help to detect and alert about the presence of persons, robots or other obstacle classes in potentially hazardous areas, preventing accidents.

3. Intelligent Transport Systems: Implementation of such models in autonomous vehicles could increase driving safety by identifying different types of obstacles on the road, such as pedestrians (person class) or potential hazards (dks, backdks).

4. Augmented Reality: Within AR systems, this model could help to accurately overlay digital content by recognizing and segmenting the scene into different real-world objects. It could, for instance, enable more immersive gaming or training experiences by realistically interacting with a person, robot, or other categories of obstacles.

5. Applications in Healthcare: In a hospital or care home setting, the model could be utilized to monitor patient movements or interactions with care robots and other objects. This could help in tracking patient activities, predicting movement behaviours, and ensuring safety by detecting potential collision risks.