Data analysis for computer vision project
Project scope
Categories
Data analysis Machine learning Artificial intelligence DatabasesSkills
data processing algorithms machine learning motion planning computer vision artificial intelligence data analysis data collection innovation software developmentGlüxkind leverages AI to build the world's smartest baby stroller that solves new parents' mobility challenges and accelerates pedestrian autonomy. We are combining AI, Computer vision and robotics to create a pedestrian robotics platform.
In order to be able to apply artificial intelligence to computer vision data, large data sets are required to train the machine learning and path planning algorithms. The project is intended to help grow the data base of vision data.
The students will also have the chance to get unique insights into this innovative technology and various areas of software development ranging from computer vision, artificial intelligence, machine learning, robotics control, path planning to classing web & app development.
Data Processing
The main part of the project will be learning the basics of Computer Vision, Machine Learning that enable autonomous driving. In order to develop robust machine learning models a large data base needs to be developed. To do that images need to be labelled and classified with relevant categories that help the robot identify traversable and non-traversable areas and in turn move safely in real world environments.
The project offers great flexibility in terms of when the students choose to complete the allocated data processing tasks.
Data Collection
IF students are locally in Vancouver, they can assist with the data collection in urban areas of the City.
We will provide the students with the required training and ongoing support as they get familiar with the existing data base as well as the changing requirements and long term goals.
We will provide them with a detailed guide that will help them improve their learning curve when it comes to processing the information.
The students get unique insights into a product development of a very innovative product that has the potential to revolutionize pedestrian autonomy. This includes learning about machine learning models and algorithms and how the raw input data they will be working with helps reach the prediction goals and improve the customer experience.
About the company
We are building the Tesla of baby strollers to increase safety for babies and give parents the support they deserve. Curious what that means and how we do it? Get in touch, we are happy to tell you more.