Asia Pacific University wins the Atos IT Challenge 2020 with innovative app

• 1st prize and competition winner: Asia Pacific University, Malaysia

“PestKillerBot” is an innovative and easy-to-use application which eliminates the pest in floricultural fields using drones which perform pest control and data collection. The Drone simulator autonomously flies over a field to detect diseases or harmful bugs and kills them. The solution architecture is divided into four parts: the Area Allocation, Path Finding with Path Planning, Pest Detection, and Drone Activation Simulation allowing users to see how the divided field is covered by each drone. The students have developed a drone prototype with a 3D printer and several components.

The team won €10,000 and each student was offered the opportunity to do either an internship at Atos or to work together with the company to develop their project.

• 2nd prize: Instituto Tecnologico de Estudios Superiores Monterrey, Mexico

This innovative solution called “Digital Water” aims to deliver water consumption solutions to households and the water supply company. It is a web application that predicts water consumption and the water level across 3 dams. The aim of the project is to provide details so that users can track consumption levels, waste, and issues to improve water resource management. The team has five years’ worth of data. They have trained their modes for four years and have tested it for one year.

The team won €5,000 and each student was offered the opportunity to do either an internship at Atos or to work together with the company to develop their project.

• 3rd prize: Josip Juraj Strossmayer University of Osijek, Croatia

With an innovative solution to improve traffic, the “CTC – Cooperative Traffic Control” app simulates traffic light controls using Deep Reinforcement Learning. Each junction acts as an agent that takes an action (extends or reduces the green/red time) depending on the cars and waiting time in the lane. The application also gets information from the nearest junctions. The team has trained and tuned the model to get the best model configuration for the traffic light control.

The team won €3,000 and each student was offered the opportunity to do either an internship at Atos or to work together with the company to develop their project.