Better Vision and Insights- Artificial Intelligence

2/25/2019 RAWAT 0 Comments

Human sense of vision can detect surrounding activities within fractions of seconds. One can perfectly distinguish objects and separate them from their backgrounds. Similarly, computer vision is the technology that includes image processing of objects, meaning and control information gathered from visual data. CV is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, like, in the form of decisions.
In AI, there is processing of the image/video sources to extract meaningful information and take action based on that. Artificial vision and image recognition are meant to achieve a specific goal by communicating with humans by recognizing surroundings. Use of AI in computer vision, provides algorithms that help one in:
·         Object classification,
·         Object identification, and localization,
·         Object segmentation,
·         Object to description translation, and many others

CV in AI means that use of CV primarily based techniques in some AI solution. In most of the vision connected tasks, the input data (images, or videos) are often treated with CV techniques to remove noise, do color correction, changing the color space, and convert images to other set of data like gradients, edges, etc. Hence, the vision computers processed data is then being use as input to the AI techniques to do a more advance operation. Without AI, one will have to rely on CV based structured techniques that are still good and achievable, but not that good on worldly data. Using AI/ML/DL techniques, one can do a lot of CV based tasks without explicitly defining the solution. The AI techniques will facilitate to search a solution that is more optimized.
Today, AI has become the foundation of the most trending technologies in the market. When it comes about processing visual data or information, AI is helping in identifying specific objects or categorizing images based on their content. Artificial Intelligence may execute image recognition with the utilization of computer vision to communicate with humans. AI communications include to know the human gestures and to react consequently.

Now, the cameras are also gaining Artificial Intelligence. These digital eyes that are smart enough to connect to Wi-Fi, watch over all 24/7 and record videos incessantly are going to get smarter! A few years back, about all cameras were like eyes sans any intelligence. Artificial Intelligence is here to give brains to these digital eyes, enabling them to analyze video without the need for human intervention. As a result, the new generations of cameras are intelligent machines that no longer just see and record, but are also able to judge and act. With the use of AI Technologies like, Machine Learning, and deep learning, video surveillance systems will be able to analyze video footage in real time. Thus, this video analytics technology will help security software to self-learn the normal behavior of people, vehicles, machines, and the environment and differentiate it from any unusual and potentially harmful behavior that might go unnoticed by the human eye.