Video Analytics​

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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​

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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. ​

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

Intelligent solutions around Video Analytics​

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

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.​

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Pose Estimation

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Measure movement with precision


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.

Using vision AI powered video analytics to estimate postures and body movements

Real-time Facial Detection & Recognition For Enhanced Security

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Insights into

Video Analytics​

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Case Studies

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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.

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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.

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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.

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Let's Work Together

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Learn how Tooliqa can help you be future-ready with advanced tech solutions addressing your current challenges