Video Analytics

Moving from image to video analytics, we may add more information to a sequence of pictures by considering attributes that are important over numerous frames. By effectively tracking elements in the video and coupling the data with deep learning frameworks, we uncover insights and AI capabilities which adds high value to processes and solutions.

Learn more with visual time series

Learn more with visual time series

A video can be seen as adding another dimension - time, to images and its processing involves detecting and determining temporal and spatial events occurring throughout time. 

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By using machine learning and computer vision in video analysis processes, we help bring real-time AI video analytics solutions to life.

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Intelligent solutions around Video Analytics

Beyond pulling patterns and insights from a video stream, video analytics leveraging vision AI capabilities can take care of multiple applications

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video denoising, image stabilization, unsharp masking, super-resolution imaging and advanced applications like pose analytics, recognition systems along with custom solutions by mining video data.

Intelligent solutions around Video Analytics

Pose Estimation

Measure movement with precision

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From tracking movements in manufacturing facilities to capturing precise postures for sports, athletics and other outdoor skill-oriented activities, pose estimation and analytics holds the key for applications like virtual trainings, sports coaching and much more. This is one of the many use cases under video analytics powered by vision AI at Tooliqa.
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Using vision AI powered video analytics to estimate postures and body movements

Real-time Facial Detection & Recognition For Enhanced Security

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Shifting paradigms: Extended Reality in Cloud Computing

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Shifting paradigms: Extended Reality in Cloud Computing

XR technology is well suited for cloud computing because it can be used to create interactive 3D applications that can be accessed from anywhere in the world. XR in the cloud also enables real-time collaboration between users in different locations. The possibilities are endless. Read this blog to know more!

Transformative Applications of Computer Vision in Education

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Transformative Applications of Computer Vision in Education

We need to keep up with changing times, particularly in the field of education, where there is innovation and discovery each day. Given the advancements in artificial intelligence and its subfields, it would be a massive mistake to ignore the incredible potential these technological fields offer. Using the crucial data provided by computer vision systems, educators can design each class to be more interactive, improving students’ moods, attendance and overall grades.

Computer Vision Applications In Design- A Tool In The Creative Arsenal

Article

Computer Vision Applications In Design- A Tool In The Creative Arsenal

In recent years, there has been an increase in the use of computer vision for design applications. This technology can be used to create 3D models of objects, identify object shapes and colors, and track object movement. Computer vision can also be used to AR/VR applications. For example, it can be used to create realistic virtual environments or to track a user's movements and provide them with real-time feedback. As the technology continues to develop, it is likely that we will see even more innovative uses for computer vision in the field of design.

Case Studies

Visual Inspection in Manufacturing Case Study

We at Tooliqa were able to locate the manufacturing irregularity by fusing artificial intelligence, image processing, and computer vision. The end user and various reports have been triggered by the event in order to increase production output.

Visual Inspection in Manufacturing Case Study

Intelligent Game Analysis & Summarization Case Study

An AI system for producing an automated summary by evaluating the gaming footage, detecting significant events, and stitching together selected highlights from it was developed by combining deep learning models with computer vision capabilities. The solution had been implemented and is in use.

Intelligent Game Analysis & Summarization Case Study

Sports & Player Management Case Study

Tooliqa combined knowledge about immersive experiences, IOT, and remote monitoring to develop Live Video Analytics for a football and basketball match, implementing object detection and tracking using deep learning. This was done using in-house knowledge of the sports industry and advanced technologies relevant in this case.

Sports & Player Management Case Study

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