Our Projects
AI and Robotics projects for more profitable businesses.
No matter their challenge, our clients benefit from our end-to-end AI and Robotics projects tailored to their needs. From building AI inspection models to robotizing factory processes, we create best-in-class technologies and guide our clients every step of the way.
Discover how we helped our clients with tailored AI and Robotics solutions!
How Cboost helped KLM detect damages on airplane engines at a micron level
To preserve essential expertise and reduce human error in airplane engine inspection, Cboost is working on an automated visual solution using AI-powered Computer Vision with the Air France KLM Engineering and Maintenance department.
Technologies used:
Developing a custom voltage sensor to measure battery voltage in real time
The manual measurement of stored batteries for quality assurance was a costly and labor-intensive process for Landport Batteries. Cboost was asked to robotize this process, but we identified a more efficient solution. We developed the Landport Voltage Sensor (LVS) which enhanced quality assurance for Landport’s customers while reducing maintenance costs.
Technologies used:
Developing an AI model to increase picking accuracy and item range of Pick & Place robots
Smart Robotics is a Pick & Place partner providing unique technology and services to automate pick and place stations. With their Smart Item Picker, they experienced challenges related to reflection and refraction. Through an AI-powered Computer Vision Model, Cboost increased picking accuracy from 75% to 99.86%, while also increasing throughput for hard-to-pick items by 50% and the robot’s item range.
Technologies used:
Improving human-machine interaction for street construction robot
Smart Robotics is a Pick & Place partner providing unique technology and services to automate pick and place stations. With their Smart Item Picker, they experienced challenges related to reflection and refraction. Through an AI-powered Computer Vision Model, Cboost increased picking accuracy from 75% to 99.86%, while also increasing throughput for hard-to-pick items by 50% and the robot’s item range.
Technologies used:
