Computer Vision
AI SOLUTION
Computer vision is the magic that allows computers to see the world around them. It’s the technology that powers self-driving cars, facial recognition software, and even the filters on your social media photos. Computer vision is rapidly growing, and it’s already having a major impact on our lives.
Self-driving cars, Facial Recognition, Manufacturing, Healthcare, and retail are the areas that are getting improved day by day with the help of Computer Vision, these are just a few of the many ways that computer vision is being used today. As the technology continues to develop, we can expect to see even more innovative and exciting applications in the future
How does Computer Vision work?
This involves capturing images or videos of the scene or object that you want to analyze.
It involves cleaning up the images or videos, such as removing noise and adjusting the brightness and contrast.
This involves identifying the features of the objects or scenes in the images or videos.
This involves assigning a label to each object or scene based on its features.
This involves understanding the meaning of the labels and making decisions based on them.
Computer Vision Use Cases
- Facial recognition : This is used to identify people by their faces. It is used in a wide range of applications, such as security, marketing, and social media.
- Object detection : This is used to identify objects in images or videos. It is used in a wide range of applications, such as self-driving cars, retail, and manufacturing.
- Scene understanding : This is used to understand the context of a scene. It is used in a wide range of applications, such as robotics, navigation, and augmented reality.
Benefits
- Increased Efficiency : Computer vision can automate tasks that were previously done manually, such as product inspection and fraud detection.
- Improved Accuracy :Computer vision can be more accurate than human perception in many tasks, such as identifying objects and detecting defects.
- New insights : Computer vision can be used to generate new insights about the world around us, such as how people interact with products or how traffic flows. Use Cases and Tools.
Applications
- Healthcare : Computer vision can be used to diagnose diseases, track patient progress, and perform surgery.
- Manufacturing : Computer vision can be used to inspect products, identify defects, and guide robots.
- Retail : Computer vision can be used to track inventory, detect fraud, and personalize shopping experiences.
- Transportation : Computer vision can be used to control self-driving cars, monitor traffic, and detect accidents. Process and Techniques.
Computer Vision Basic Function
- Optical Character Recognition(OCR)
- Retail automation(personalised search)
- Machine inspection
- 3D model building(photogrammetry)
- Fingerprint recognition and biometrics
- Medical imaging
- Match move(e.g. merging CGI with live actors in movies)
- Automative safety
- Motion capture(Mocap)
- Surveillance
Computer Vision Tools
- OpenCV : This is an open-source computer vision library.
- TensorFlow : This is an open-source machine learning library.
- YOLO : This is a real-time object detection algorithm.