AI-CV Bot

Computer Vision Bot

AI powered bot that uses Computer Vision to identify objects, faces, colours, shapes and more on the go to teach AI Concepts.

AI-CV Modes

Hrs of Learning

20+

Parts in Kit

2 Free Online Sessions
Hardware and Sensors
AI-CV Dashboard
Real-time AI Training
Mobile Application
Computer Vision
Build & Code Instructions
Mobile based Application

Choose Variant

How it works

AI-CV Bot utilizes the concepts of Artificial Intelligence and Robotics. A perfect combination to teach both robotics and computer vision concepts to the learners. .

Control

Primarily powered by Computer Vision to navigate and control the bot. Mobile application helps in navigating and training the bot to solve problems.

Interesting Mods

It utilizes 3D printed parts, sensors and mobile application to achieve the unique applications. Get hands-on experience while building the bot, learning to setup, code it and train it as per the application.

Coding & Skills

This unique bot is fun to learn and code. It has both Artificial Intelligence features and robotics making it a unique combination. Learn to code and improve it to meet new challenges.

Explore AI-CV Bot

Computer Vision at its best

Rating:4.9

Computer Vision is a cool application in the world of Artificial Intelligence that could be used for object or human identification and recognition. AI-CV is aimed to teach learners concepts of CV through object detection, training AI model, and Robotics. Learn all these skills in this creative kit.

About

AI-CV Bot is a combination of Robotics and Artificial Intelligences concepts. This combination would give a new dimension in mobility as we would not depend on the sensors to navigate the bot but on the Computer Vision algorithm. Learn to train the AI model using real-time data and add new features to it. Use your mobile to run the CV application and achieve both mobility and object recognition.

Unboxing AI-CV-Bot?

AI-CV Bot utilizes computer vision to ‘see’ the environment and navigate itself. You could train it identify the objects and even the user who is using it.