Object Tracking

We combine deep learning with computer vision techniques for creating a robust object tracking solution. This enables our solutions to take a series of initial object detections and creates a unique identifier for each of the initial detections before following the detected objects as they move across frames in a video.

Power up your machine vision

Power up your machine vision

Object tracking is a tremendously important and widely used application of visual AI that allows computers to recognise, analyse, and follow objects through still photos or frames in a video stream.

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This maximizing the automation capability and simplicity in your visual data processing solution catering to your specific needs.

Intelligent solutions around Object Tracking

Our services around object tracking can handle versatile use-cases and diverse visual feed, be it an image, a real-time video or a prerecorded video for meaningful action.

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From applications in medical fields to path prediction and motion planning for robotics, we bring precision to them all.

Intelligent solutions around Object Tracking

Tracking Movements of People and Objects in a Video in Real-time

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Exploring Perceptrons: The Building Blocks of Neural Networks

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Exploring Perceptrons: The Building Blocks of Neural Networks

Perceptrons are the simplest type of artificial neural network, consisting of a single layer of computational units that process input data and make predictions based on that data. Read this blog to know more.

The Rise of Computer Vision

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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

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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!

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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