Evaluation of the efficiency of the hardware associated with the AI functionality
Summary
Testing of devices that embed AI module(s) in their command system - focus on energy consumption efficiency. Test performed in laboratory conditions for optimal reproducibility and repeatability. Tests may concern the energy efficiency of SLAM, various types of end effectors, etc.
S00081
Version: 1.10
- arable farming
- horticulture
- greenhouse
- tree crops
- viticulture
- livestock farming
- food processing
- test design
- test setup
- test execution
- collection of test data
- performance evaluation
- physical system
- software or AI model
- Location: in France
- Offered by: LNE
Description
Our service includes the evaluation of devices with embedded AI modules in their control systems, with a specific focus on energy consumption efficiency. By simulating a wide range of scenarios, we provide detailed insights into the energy performance of these AI systems with regards to their expected operational environment. These tests can be conducted in different conditions, either in a completly simulated way, through an hybrid test bench were the actual physical device is assessed within a simulated environment or using physical infrastructures based on the device's operationnal environment to test it in 'real' setting. In all cases, tests are meticulously conducted under controlled laboratory conditions to ensure optimal reproducibility and repeatability. Typical assessments may cover the energy efficiency of SLAM, various types of end effectors, and other relevant components. This rigorous testing process helps identify potential areas for improvement, enabling companies to enhance the efficiency and sustainability of their products, ultimately leading to cost savings and reduced environmental impact.