This service enables companies to validate and optimise artificial vision systems, improving accuracy, reliability, and automation in industrial environments. It supports both industrial users and technology developers in ensuring that vision-based identification systems perform effectively before full deployment.
The service evaluates systems used in applications such as quality inspection, part identification, traceability, and automated sorting. Performance is assessed under representative operating conditions, considering factors such as lighting variability, object diversity, and process speed.
Performance indicators include measurable metrics such as detection accuracy, classification rate, false positives/negatives, processing time, and system robustness. These indicators allow companies to quantify improvements in operational efficiency, reduction of errors, and increased productivity.
Typical applications include automotive manufacturing (e.g. part inspection and traceability), logistics and warehousing (e.g. package identification and sorting), and industrial production lines requiring automated quality control.
The service follows a structured process:
– Definition of the use case and performance requirements
– Selection of key performance indicators (KPIs)
– Review of customer systems, data, and interfaces
– Execution of test campaigns under controlled and realistic conditions
– Analysis and benchmarking of results
– Recommendations for system optimisation
To carry out the service, customers are expected to provide access to their vision systems (hardware and/or software), relevant datasets (e.g. image data), and system configuration details. Data quality and representativeness are key to ensuring reliable evaluation. ITA provides testing environments, measurement equipment, and expertise in artificial vision and industrial processes.
The result is a technical report describing the tests performed, the evaluation methodology, and the results obtained. The report includes quantitative performance metrics and benchmarking results, supporting informed decision-making and system improvement.
This service is designed for:
– Industrial companies seeking to improve efficiency, reduce errors, and increase automation in production or logistics processes
– Developers of artificial vision technologies aiming to validate and benchmark their systems in realistic industrial scenarios
To start a project, companies can contact ITA to define the application and evaluation scope. This initial step includes a feasibility assessment and KPI definition, followed by a tailored proposal, execution of tests, and delivery of results
