Testing of the follow-me function of a robot

This service aims to evaluate the precision and resilience of a system designed to track the movement of individuals or objects.

Interested in this service? Contact us at agrifoodtef@josephinum.at 

 

Overview

Our service offers a comprehensive evaluation of your device's ability to detect and track moving objects like people, ensuring it performs reliably in real-world scenarios. Also, safety concerns of such a function can be addressed with our tests. Through field tests, we simulate realistic conditions to test your system under various environmental influences. This practical approach provides precise insights into your device's effectiveness and highlights areas for improvement, making it essential for startups and SMEs in the tech-agricultural sector aiming to refine their innovative solutions.

More about the service

Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!

When programming a follow-me function, the goal is in the name: the robot must follow me. To address this demand, machine learning often is the tool of choice. The physical sensors behind the model are important too. We test the whole system in real field conditions to provide you with information about how many mistakes your robot makes under those conditions.

The testing can be repeated as often as agreed with the customer. The service can be delivered throughout the whole year. The execution of the test can be as short as a day, but the evaluation of the results will be at least two weeks. The service can be executed in our fields in Wieselburg, as well as in fields in your location. You will receive a report of the efficiency and safety of the follow-me function. You have to provide a robot or algorithm for object detection and the follow-me function.

The test can be customised for different crops (viticulture, tree crops, open fields, etc.), different illuminations (dependent on weather), and different persons/scenarios (more than one person, persons with different clothing, etc.). It is also possible to split the test into object detection and the movements of the robot itself to identify any weak spots in your system.
Location
Austria
Type of Sector
Arable farming
Horticulture
Livestock farming
Tree Crops
Viticulture
Type of service
Collection of test data
Performance evaluation
Test design
Test execution
Test setup
Accepted type of products
Physical system
Software or AI model