The TV industry has experienced a considerable decrease in the number of ads spent over the last few years as marketing budgets have shifted towards online advertising. This decrease is driven by some factors; the reduction of subscriber growth is due to streaming contents over the world’s most popular devices that are still growing. The machine vision or computer vision technologies were one of the main reasons for this transformation. Incorporate computer vision technologies can provide cable and satellite providers, TV networks, and advertisers with accurate viewer analysis and rating.
Overall, image processing is the focus of computer vision. The Machine Vision, on the other hand, manipulates mechanical components using digital input and output. Devices that depend on machine vision are often found during the product inspection where digital cameras or other forms of Automated Vision are often used to carry out tasks which a human operator has traditionally done. But the way machine vision systems 'see' differs considerably from human vision.
Computer vision enables the most accurately reported viewing numbers for advertisers. The user’s head position is identified by computer vision, which shows not only the presence but also the care of the user. This is a game changer for advertisers who seek to take advantage of their ads because they can quickly determine their targeting based on their age, gender, and history, and can pay for their actual exposure. This is a transition from passive to right spectator impression, including how many people saw an ad, their age, their sex, and their number of views. It would also provide more accurate information on the cost per print of an advertisement that would enable advertisers to improve their targeting relevance and cost efficiency.
The computer vision also offers an improved real-time viewing experience for consumers, for instance, when a child or family is detected, shows child-friendly content or ads. Computer vision detection can provide a similar experience, such as logging into the customer’s Netflix account. The face detection technology allows an individual to automatically detect and take a show exactly where he has left off or to offer more relevant content based on his previous viewing preferences.
Machine vision systems have many other applications beyond product inspection. Networks often use machine vision systems, such as reading barcodes, counting, and storage interfaces that depend on visual inventory control and management. The large-scale industrial product also uses machine vision for the evaluation of the products and also for automated robotic arms at various phases in the process. In order to monitor their quality, even the food and beverages industry uses machine vision systems. Also, these machine vision systems are used in the field of medical imaging and examination.