MOTION CONTROL SOFTWARE (GESTURE DETECTION)

The dynamic development of technologies contributes to the introduction of neural networks and machine learning in many areas of human life. Using a camera and sensors, artificial intelligence (AI) can quickly assess the spatial position of a person’s body, interpret his gestures and execute a specific command: pause music playback, turn on the lights in the room, change the TV channel, and much more.

The capabilities of AI-powered contactless interfaces are used in a variety of industries, from medicine to entertainment and, of course, business.

Computer vision enables a machine to detect, track, and classify objects, as well as recognize sounds and movements. The potential of this technology formed the basis of software for contactless control of devices – the user only needs to make certain gestures for the machine to notice, interpret them and perform a particular task.

The computer independently performs analytical work and identifies patterns based on the downloaded data and a set of special algorithms.

The development of contactless control is due to many factors, for example, gesture recognition can significantly improve the ergonomics of consumer devices, make interaction with them simple and convenient. Another driving force behind the market is the proliferation of biometric systems in many areas of people’s lives, from cars to homes and shops. Contactless systems have found applications in medicine, entertainment and the gaming industry: in augmented or virtual reality, sign language recognition devices, video games, etc.

The technology uses a camera that provides data on certain gestures in real time, after which the system interprets the information and executes the user’s command. The process consists of three main stages:

• Detection. Using a camera, the device detects human movements, and a machine learning algorithm processes the image to determine the position of the hands.

Tracking. The device tracks movements frame by frame, captures them and provides accurate analysis.
Recognition. The technology identifies patterns based on the collected data and interprets the gesture, and then performs the associated task.

If the control is focused on recognizing hand gestures, during detection, the system determines key points on the palm of a person, analyzes the state of each finger, and then compares it with the loaded set of gestures. This simple yet effective technique allows artificial intelligence to quickly recognize a basic set of gestures and perform the necessary functions.

Today, the leading companies making gesture products are Intel, Apple, Microsoft, and Google. So, the developers of Google AI Labs have created a system that recognizes hand gestures using a smartphone camera. In the future, it will become a full-fledged communication device. Another example of a successful implementation of the technology is the Welle smart home controller, developed by Maxustech, which turns gestures into commands. It can be used to control lighting fixtures, TVs, speakers, door locks, fans, etc.

Other industries where contactless technology is being introduced include the automotive, healthcare and home appliance industries.

AVADA MEDIA develops software for effective gesture detection. When designing the system, we use neural network methods to fully personalize the interaction with users.

Gesture recognition is a technology designed to provide a computer with data to execute commands that a user has selected. It can be used in augmented reality applications to interact with virtual objects, become the basis for understanding sign language, or create contactless interfaces.

Due to its enormous capabilities, gesture recognition technology can be applied in many fields and areas: from robotics and drones to 3D scanning and human tracking. That is why our experts are helping to implement it in a variety of industries, including retail, healthcare and security. In business, gesture detection software can be an essential component to improve customer experiences across technology domains.

Smart home owners can use gesture recognition to control lighting without even touching the switches – just wave your hand to turn on the light. Smart TVs are built on a similar principle, which allow you to switch channels and adjust the volume using a set of gestures.

The technology provides the most accurate motion detection, therefore, contributes to the development of games and gamification in AR / VR. More and more gesture-driven products, software and applications for smartphones, tablets, laptops, smartwatches, and more are entering the market. In the near future, technology will greatly simplify the use of many smart devices and create a reliable customer base for companies.

Our specialists offer a full range of services for the design, implementation and maintenance of software solutions for different business niches, in accordance with the individual requirements of the client. We are engaged in the development of IT projects of any complexity and scale. The work process takes place in several stages with clearly defined intermediate goals and results, which are previously agreed with the customer.