Computer vision is a field of study that seeks to develop techniques to help computers see and understand the content of digital images such as photographs and videos. Our work in Computer Vision & Machine Learning powers innovation in areas of various sectors through Accurate & high quality labeled Data from our Professional & well-trained annotators. Computer Vision Use-Cases: Image Classification, Object Detection, Video Analytics, Image Segmentation, Facial Recognition, Emotion Analysis. Computer vision technology is very highly significant and dynamic and it’s been selected by many industries in many different ways. The difference is some use cases happen behind the more visible or some are not. Many of the use cases of computer vision fall into the following clusters.
In modern times there is a large number of threats in our society and to reduce that computer vision is supporting in many ways
Know-How the use of computer vision reduces risks, threats, and frauds.
The recent advancements in real-time computer vision, however, will provide possibilities of far more new and innovative ways to reduce risk and increase security in many industries to the humankind.
Computer vision system Recognizing and labeling an object
Computer vision helps to understand and label medical diagnosis, defect reduction in the production sector, and also helps in pest infestation prediction for the agriculture sector with the help of Data labeling provided by Data labeling company. As we know for many security purposes, computer vision does a great job in detecting humans, vehicles or weapons
Computer vision system in Modifying images
One of the useful computer vision techniques called “Generative Adversarial Networks” is to generate photo-realistic images, recreate damaged and blurring images as This is highly useful in generating visualization for critical security incidents help to know the license plates to provide helpful information whenever required.
Computer vision system in airport security checks
A computer vision system with real-time object tracking capability can monitor the behavior of a large number of people, store detailed records of the in-out of people from various areas places and various points, helping many security personnel to forecast any danger situation, as well as identifying potential suspects through movement and patterns.
- FACE ID advanced technology
Presently, when your device gets unlocked using biometrics such as with face ID, it’s using artificial intelligence and computer vision to enable that functionality. It lights up your face and places 30,000 invisible infrared dots on it and captures an image. It then uses machine learning algorithms to compare the scan of your face with what it has stored about your face to determine if the person trying to unlock the phone is you or not. So this significant function FACE ID advanced technology in our smartphones is totally dependent upon AI and computer vision and so we are. It helps in the security of mobile phone data from any illegal practices when stolen or lost.
Computer Vision system in the finance sector
Under the financial sector, it could be used to enhance safety and security at the cash counters and cashpoint, in-stores, through assessing people’s emotional state in real-time. Nervousness showed by someone using a cash point an indication that the person is being threatened or they are using a stolen cash card, triggering the machine to stop the requested transaction or alert the security regarding the same and can further investigate.
Computer vision provides accurate and significant risk reduction tools, helpful information, and also helps security personnel to more effective and efficient at their jobs through advanced computer vision and AI systems.
We help bridge the gap between machines and humans with our reliable labeling and data annotation services for the better computer vision system. Learning Spiral is here to Empower your algorithm and bridge the gap between machines and humans with our reliable data labeling and data annotation services.
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