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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The Rise of Computer Vision

Article

The Rise of Computer Vision

Computer Vision started with simply giving computers the ability to recognise and identify shapes. Today, it has morphed into a giant neural network of high-speed image processing unlike any other. It is used in diverse cases such as fraud detection, crime and intelligence, manufacturing, health and safety, and so much more.

Neural Radiance Fields (NeRF): A Breakthrough in 3D Reconstruction

Article

Neural Radiance Fields (NeRF): A Breakthrough in 3D Reconstruction

Neural Radiance Fields (NRF) is a new computer vision model that can generate more realistic images of humans than ever before. This model uses a combination of deep learning and computer vision algorithms to generate high-quality images of people from low-resolution inputs. Read this blog to know more!

Activation Functions in Neural Networks

Article

Activation Functions in Neural Networks

Activation functions are a crucial part of neural networks and play a key role in determining the output of a neuron. Read this blog to know more!

Case Studies

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

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

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

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