Object Tracking Using Computer Vision

Business Impact

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Of late, the deployment of unmanned robots in workplaces is on the rise. There are already growing concerns about the safety profile of the worker-robot interaction space.

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The Deep Learning techniques will assist businesses to overcome these challenges in handling autonomous robots in workplaces like inventories, manufacturing sectors, restaurants, and warehouses.

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We have helped one of the leading restaurants in the USA to overcome the challenge of managing autonomous robots collision while serving foods in their restaurant.

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Our solution is aimed at avoiding worker-robot and robot-robot collisions while on the move inside the workplace.

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We have used Deep Learning technology to address the collision issue and overcome the same. Our solution is integrated with Visual Odometry to determine GPS coordinates.

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The integration of GPS coordinates helped autonomous robots with a much better understanding of their surroundings to take necessary actions.

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Technology Stack

Solution Overview

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Reinforcement Learning has become a primary driver for autonomous robots, be it person bots that acts as smart pets like Anki's Cozmo or fancy robots that are present in hotels for food delivery.

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The current state or location of these agents is harder to describe with the use of GPS coordinates. Since these agents are meant to perform in a given closed environment, We can use visual information they are collected from the agent's camera to predict the current state coordinates.

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This technique is called Visual Odometry wherein we use Convolution and Recurrent Neural Networks to process the 3D frame to determine the current location.

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Our Award Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

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