Computer Vision
AI SOLUTION
At Dotsquares, we harness the power of Computer Vision to drive innovation across industries. This advanced technology enables machines to see and interpret the world, forming the backbone of solutions like self-driving cars, facial recognition, and even the engaging filters you use on social media.
We are continuously leveraging Computer Vision to revolutionize sectors such as automotive, manufacturing, healthcare, and retail. Whether it’s enhancing the safety and efficiency of autonomous vehicles, optimizing manufacturing lines, or improving diagnostic accuracy in healthcare, our expertise in Computer Vision is shaping the future of these industries
How does Computer Vision work?
This involves capturing images or videos of the scene or object that we 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 : To identify people by their faces facial recognition is used in a wide range of applications, such as security, marketing, and social media.
- Object detection : A wide range of applications uses object detection to identify objects in images or videos, such as self-driving cars, retail, and manufacturing.
- Scene understanding : To understand the context of a scene. wide range of applications employs scene understanding, such as robotics, navigation, and augmented reality.
Benefits with Computer Vision
- Increased Efficiency : With Computer vision our client's can automate tasks that were previously done manually, such as product inspection and fraud detection, etc.
- Improved Accuracy :We offer higher accuracy with Computer vision as it is accurate than human perception in many tasks, such as identifying objects and detecting defects.
- New insights : Computer vision can leveraged 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 employed to diagnose diseases, track patient progress, and perform surgery.
- Manufacturing : Support in niche areas of industry such as product inspection, identifying 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