Computer Vision and Future Technical Landscape

Summary

In recent years, Computer Vision has proved to be one of the most impactful sciences domains. The idea of replicating the means of sight of the human into the machines is overwhelming and has some unique pros. Today Computer Vision has completely changed the way we think about machines and their ability to recognize things. Now, we can use simple programs to detect, classify and recognize the data present in the camera field and this ability of machines has a great influence on technological advancements.

What is Computer Vision?

Computer Vision is the stream of Artificial Intelligence through which a machine sees its surroundings. It can extract meaningful data from image data, videos, and other visual inputs. That information then can be used to perform certain tasks like recognition and detection. In simple words, computer vision helps machines in seeing around and recognizing the same way how we humans do.

Applications of Computer Vision

Computer vision has taken the research industry by storm. This emerging field has huge undeniable applications in almost every domain of life including:

• Robotics
• Transportation
• Security and Protection
• Healthcare
• Object Detection
• Facial Recognition
• Movement Detector

and much more.

How Computer Vision is influencing Robotics?

It is cool to have a robot that has the ability to perform any task given by its operator. For example, using a unique command, a robot could pick up an apple from a basket filled with mixed fruits. However, wouldn't it be great if the robot could actually see all the fruits in the basket and then detect and recognize an apple? This information then can be used to perform the task of picking up the apple and putting it into another basket designated for just apples. Wouldn't this ability be great? Exactly, that's what Computer Vision is bringing to Robots, the ability to see just like humans. Currently, this ability is being used for object detection, object recognition, and surveillance robots.

Role of Computer Vision in Transportation

Science has seen tremendously miraculous advancements in the last few decades, especially in transportation. Electrical vehicles are the biggest example of these inventions. They have changed the way we travel altogether. Tesla, a transportation car company introduced an Auto-driving mode in the cars which means now we can travel anywhere without actually driving the car. How did that become possible? Of course, computer vision has played an important role in this development. The ability of cars to monitor everything in the surroundings including roadblocks, traffic signs, detecting people crossing the road, turns in the road, and detection of the lanes is just overwhelming. Now you can literally fall asleep during the drive after putting your car on autopilot mode. None of this was actually possible without Computer Vision.

Security and Protection with Computer Vision

Security and protection might be the greatest practice of this technology. Security usually involves cameras and visual data and this is what CV takes advantage of. Today, we can model the algorithms that can extract the important visual information from the video feeds or images, and then it can be used for the facial and object detection. After these model implementations we can use cameras from multiple operations like facial recognition in employee attendance systems, Traffic control systems for reading the number plates of the vehicles and burglar alert in the house.

Conclusion

Computer Vision has applications in facial recognition, object detection, identification, healthcare, surveillance, self-driving care, emotion analysis and protection. All of these developments were not possible without the amazing research in Computer Vision domain. Evidently, CV with the help of AI and ML is playing an important role when it comes to the advanced technological advancements in image and video processing and analysis of visual data.