AI visions, commonly known as computer vision, enable computers to extract valuable information from visual inputs like images and videos. Just as AI empowers computers to ‘think’, computer vision equips them with the ability to ‘see’.
Computer vision enables AI-powered machines to independently learn and perform a variety of tasks. These machines rely on a combination of cameras, algorithms, and data to accomplish this. For computer vision to function effectively, it needs a large database, as these systems continuously analyse information to derive all the necessary insights for their specific purposes.
Let’s dive into how computer vision is applied across various industries!
- PPE detection
PPE (Personal Protective Equipment) detection utilises cameras and deep learning algorithms to automatically identify whether or not individuals are wearing the appropriate protective gear. This is crucial in ensuring workspace safety, especially in factories.
- Safety helmet and vest detection
Safety helmet and vest detection system is designed to recognise whether construction or industrial workers are wearing their safety gears. This system often uses object detection algorithms (YOLO) to analyse images and ensure workplace safety, especially in construction areas.
- Footfall monitoring system
Footfall monitoring systems are often used to count the number of people entering and exiting a space, such as retail stores or shopping malls. They provide valuable data on customer traffic patterns, helping businesses optimise their operations. Other than counting, this system can also offer insights into customer behavior.
- Traffic management
AI-powered cameras can continuously monitor traffic conditions, providing real-time data on vehicle flow, congestion, and road usage. This system can also identify traffic violations such as speeding or running red lights, helping to enforce traffic laws more effectively.
- Instrumentation monitoring
Instrumentation monitoring refers to measuring and controlling physical quantities with the help of sensors and devices in industrial settings. It is often used in manufacturing to monitor production lines, ensuring quality control and operational efficiency, allowing for immediate detection of anomalies or changes in the monitored environment.
Computer vision is not just a technological marvel; it’s a transformative force poised to reshape our world in profound ways. From revolutionizing transportation with instrumentation monitoring, the potential applications are boundless.
As computer vision continues to evolve, it promises to empower industries, improve lives, and unlock a future where machines truly see and understand the world around them, just like we do.