Video analytics with AI

Blog. Immerse yourself in AI

Video analytics with AI


Julia Rose
Marketing & Design
17. January 2023

Intelligent video analysis with artificial intelligence (AI) 

Artificial intelligence is used in video analytics to perform various tasks using computer vision and deep learning. This includes the use of AI models on video and images, as well as live video streams. Video analytics is also known as Intelligent video analytics due to the use of intelligent algorithms by AI. It is mainly applied to get a good insight from data of video and image files so that activities in different scenarios can be detected, analyzed, and interpreted automatically and in real-time. 


How can you use video analytics and AI to optimize your business? 

The use of video analytics has many potential benefits, including: 

Improved security: Video analytics can be used to detect and track suspicious activity, helping to prevent crime, or properly verify the use of protective equipment. 

Better Customer Insights and Improved Workflows: Monitor customer behavior to see what products they are interested in, how long they spend in certain areas of your store or identify if shelves should be restocked to increase customer satisfaction. Basically, this information can be used to improve the customer experience and increase sales. 

Increased efficiency: Automatically track inventory levels, people counting, and other data points to improve operational efficiency. 

Automate processes: Automation of processes such as quality control of products, labels, shapes, textures, or impurities, and automatic control of product completeness or defects. 

If you’re looking for a way to improve your business, video analytics is a great option. 


Video analysis and its features 

Object detection and object classification: By using computer vision algorithms, various objects in videos and images are detected. These can be cars, packages, and people. However, classifications of objects can also be made based on their characteristics: e.g., different types of products on a production line, workers without protective equipment, and more. 

Object segmentation: Object segmentation with AI is a process of identifying and classifying objects in an image, e.g. which pixels represent which object in the image. Some application scenarios are autonomous vehicles and robotics, but also medical image analysis. 

Object tracking: Object tracking is a field of computer vision that deals with tracking objects in digital images and videos. It is a difficult problem to solve due to the large number of possible objects in an image and the varying sizes, shapes, and colors of these objects. However, recent advances in artificial intelligence (AI) have made it possible to develop computer vision algorithms that can accurately track objects in images and videos. These AI-powered object trackers can be used for a variety of applications, including security and surveillance, automotive safety, and human-computer interaction. 

Optical Character Recognition (OCR): OCR can be used to automatically read and extract text from images and videos. This text can then be analyzed by video analytics and AI to identify patterns and trends. 


Video analytics in healthcare 

There are many ways that video analytics with AI can improve healthcare. For example, it can help identify health problems earlier, provide more personalized care, and improve the efficiency of administrative tasks. In addition, video analytics can improve patient outcomes by providing better access to care and helping to ensure that patients receive the best possible treatment. 

Video analytics in retail 

As retailers adapt to the digital age, video analytics with AI can play a critical role in improving the customer experience. This technology can be used to monitor customer behavior, identify trends, and optimize store design. In addition, video analytics with AI can be used to create targeted marketing campaigns and personalized shopping experiences. With the right implementation, this technology can help retailers reach new levels of success. 

Video analytics in security 

There are a number of ways that video analytics with AI can improve security. For example, it can help detect potential security threats such as suspicious activity or intruders. It can also be used to monitor large areas for things like traffic congestion or unusual activity. In addition, it can help control access to a facility by using facial recognition to identify authorized personnel. 


If you’re looking for ways to improve your business, video analytics with AI is a great place to start. We improve insight into your data from video and images by using AI to automatically detect, analyze, and interpret activity in various scenarios in real-time. As AI experts, we offer extensive expertise in artificial intelligence (AI), machine learning, computer vision, and deep learning. With our proven and world-class team, we are committed to the success of your projects. Do you have more questions about video analytics and AI? Or do you have a project idea and are looking for the right partner? Then contact us.