We are a part of the digital era where everything is under virtual surveillance. The information gathered from video cameras and surveillance cameras has gone to next level and is not limited to human analysis. Several emerging technologies are available to get insights from large volume of video data. In the past few years, AI video analytics, or intelligent video analytics, has become a mainstream data management process for different industries. So, thanks to the AI deep learning, where video analytics has become automated that were earlier performed by humans.
So, recent improvements in video analytics have played a vital role for agencies to monitor traffic jams and share alerts in real-time. In addition, video analytics helps to keep a check on the customers’ flow in retail stores for higher engagement.
In this blog post, you’ll come across the basic concept of AI video analytics, its definition, real world usage to gain valuable insights when implementing in your organization.
Introduction to AI Video Analytics
AI-Based Video Analytics is the process of deriving actionable insights from digital video data gathered. This advanced technology simplifies and eliminates the burden of repetitive tasks, performed by humans. AI is really helpful to observe data as well as analyze large volumes of videos to detect, and identify specific objects. However, in simple words, Artifical Intelligence video analytics is a tool helpful for humans in analyzing video content, and perform automated decisions depending on the observations done on the data collected. Also, it is helpful for machine learning, real-time data tracking and enhance customer experience by increasing efficiency.
Technology Stack for Video AI
Video analytics requires skills, time and is a challenging job as a whole. A video needs to be checked frame by frame, and every frame needs proper image processing to get insights. Here, AI video analytics plays an important role by simplifying the data with the help of AI to process it at shoter phase of time. Also, there are multiple libraries needed by video analytics software for image processing.
- OpenCV– It is a free to access Machine Learning library developed for Image recognition and processing.
- TensorFlow– It is also a machine learning library developed by Google to keep a check on the high precision objects.
AI Video Analytics processing involves three key tasks:
1. Object Detection
This steps identifies an object in an image through computer vision. It simply count items in a scene using the identification and localization method. Later it register their accurate positions, by marking them.
2. Object Recognition
In this step computer vision is used to recognize objects in video recordings. The key objective of machine learning algorithms is to recognize the object. We can instantly spot characters, things, and other critical information while humans simply watch a film.
3. Object Tracking
This involves objects tracking as they travel through multiple frames within a computer vision. In a game of soccer, items are majorly the humans, but they are also the creatures, cars, or other objects.
Industrial Implementations of AI Video Analytics
There are several industrial applications of AI Video Analysis. Some are discussed below.
1. Healthcare
AI video analytics can be used to identify whether a patient is given proper treatment or not according to their needs. Moreover, it can be used to manage hospital resources and reduce patient wait times while offering direct entry to the emergency ward.
Mental healthcare is also improved with video analytics performed through AI. Patients facial expressions, and body posture can be analyzed to assist experts in the treatment. AI simply detect emotions on the basis of body language, offering accurate information that can help to plan a treatment.
2. Transportation
AI video analytics is a real game-changer for transport management. It is helping to build smart cities by monitoring traffics to control jams, reduce accidents and ensure safe pedestrian movement.
AI video anlytics can be used to adjust traffic light systems to monitor traffic movement. It is useful in dangerous situations like vehicle stopped in an unauthorized space, vehicle moving in the wrong direction, or any accident. In case of an emergency, these systems collect the reason of accident.
3. Retail
It can be used in retail stores to monitor visitor movement, manage crowd and move them to vacant areas for higher engagement and sales.
A lot of actionable data can be collected for your retail store using AI based video analytics for real-time processing. It majorly includes number of customers, their interests, duration of visit, and body language. All of this data is collected to make informed business decisions like product addition, resource allocation according to the day of the week, season and holiday. Retailer have proper information about who their customers are, when they are planning to visit the store, and what engage them once inside.
4. Security
Security is an important aspect for every organization whether public or private. Hence, aI video analytics is helpful in license plate recognition in real-time to identify persons and vehicles doing illegal activities.
Crowd management is another crucial advantage of having AI video analytics for the security systems. Security is important for places like shopping malls, hospitals, stadiums, and airports. These AI tools can keep a check on the crowd count in real time and share alerts when limit is reached. They can also help to detect movement in unwanted or prohibited places for crowd management.
5. Sports
Emerging technologies have made a strong impact in the sports industry as well. From soccer coaches, trainers, athletes to beginners, everyone is making use of data to enjoy desired results.
AI can be used to generate match statistics like ball possessions and number of passes. This information can be used to understand the team’s performance. Studies have shown the importance of ball possession in FIFA matches, concluding that teams have won matches with more ball possession.
Top Use-Cases of Video AI in 2023
Some are the major use cases of video analytics for better implementation.
1. Face Recognition
This technology identifies a human face from a database of digital faces. It is basically used to verify users via an ID verification services. This identify an unauthorized person trying to access some premises or data center. Some organizations are using Generative AI with face recognition to check whether a person is authorized to access specific facility.
Face recognition works on algorithm by keeping a check on the face color, size, eyes and more. All are combined by encoding the information derived from the image. It tracks to manage authorized/unauthorized persons. An alert is shared with authorities, when a person is detected, whether it is permitted or not in a zone.
2. Behavior Detection
Behavior detection detect the person’s behavior towards another person. Also, it sends an alert if found it is harmful to another person or an object. Office space uses AI video analytics to detect how a person in the workplace. It is used to monitor people coming from outside for meetings, interviews or work related.
It becomes simple to keep a check on how they behave in the workplace or can do any harm to the place through the detection system. If any illegal activity is performed, the system will provide real-time alert to authorities.
3. Person Tracking
Person Tracking has become simple than before with the presence of emerging tech solutions like AI. It includes the method of tracking a person across different frames. It begins with the identification of possible detection in a frame and provide ID to them.
Another objective behind the people tracking is if the person is an outsider for the office space so by providing him the ID, you can properly track its activities. ID can be used track the person in a building, and you can keep a check where is the person and what he/she is doing.
4. Crowd Detection
Crowd detection have drawn severe attention in the last few years because it actually requires a broad range of AI applications. In addition, to the surveillance work, crowd detection also present in the movies, TV shows, and personalized videos.
Crowd detection is challenge because several people are assembled with frequent and heavy closure. To ease this process, AI can detect, track, and identify crowd for better management.
5. Time Management
It supports a business to properly analyze the presence and time management of the person in a specific building premises. The authorities are shared proper alerts when a person has a period of job left. The system has proper records about the person’s activity or record. Moreover, when a person works overtime, an alert is shared to the system and authority. It will simply keep a proper check on the number of persons exceeding time limit.
Wrapping Up
Finally, AI Video analytics is an invaluable asset in helping us to manage different and critical tasks. There are multiple industries leveraging benefit from this remarkable technology. In the last few years, the complexity of potential applications has seen a surge.
From smart cities, traffic management, security controls in hospitals and airports, to crowd management at shopping centers has become streamlined with AI. The video analytics enables processes to be more effective and less tedious for humans, and less expensive.
We hope this post has helped you to better understand what video analytics is all about, technology stack involved, use cases and how it works. If you are looking to leverage AI development services in your organization to automate processes and enjoy valuable insights, reach to a professional AI development service provider.
Frequently Asked Questions
Q. Can I hire a dedicated AI development team for my project?
Yes! You can hire a single AI developer or a full team to work on your project. We offer different choices to satisfy the project demands.
Q. What is the cost to build a AI video analytics platform?
The cost to create depend on the specifics, complexity, and application features. For a precise price, connect with our experts for complete details of your project.
Q. Will I get the source code after deployment?
Absolutely! Once your project is completed, you will be the complete owner of the custom source code developed by the AI developers.