RELY
CONTACT DETAILS
Company: RELY TECHNOLOGIES, S.L.
Contact: Sonia Diez
Phone: +34 942 78 88 64
Email: s.diez@sialitech.com
Web: www.relyqa.com
LinkedIn: www.linkedin.com/company/relyqa
PROJECT DESCRIPTION
Rely is an advanced quality control platform that uses artificial vision and intelligence to automate and optimize product inspection in industrial environments, with a particular focus on the automotive sector.
The solution allows for instant detection of irregularities, eliminating human error, and ensuring that each part meets the highest quality standards, achieving a 98% success rate.
Rely integrates easily with existing equipment in production plants, enabling quality control automation without the need for facility modifications, thereby improving operational efficiency and protecting brand reputations.
SOLUTION AND TECHNOLOGIES
Rely is a technological platform that combines computer vision, artificial intelligence, and machine learning to automate quality control in industrial production lines, eliminating the need for manual inspections and improving the accuracy of defect detection.
The solution integrates directly with existing cameras and PLCs in plants, allowing for implementation without significant modifications to the machinery. This adaptability allows the platform to be installed quickly and with minimal impact on production.
One of Rely’s strengths is its instant assessment capabilities, as it analyzes each part that passes through the line in real time, identifying potential defects and triggering automated responses that allow deviations to be corrected or production to be halted in the event of critical failures.
The platform incorporates machine learning algorithms, allowing it to continuously learn as it processes images, progressively increasing its accuracy in identifying defects and thus improving inspection reliability.
Furthermore, Rely offers full traceability of the production process, generating a visual and digital history of each inspected part, storing images and records that can be consulted at any time to analyze the quality of manufactured products.
Finally, the platform detects patterns in the appearance of defects, facilitating the identification of trends and root causes that help prevent future failures, thus optimizing production processes.
Contributed innovation
Rely’s innovation is based on the full automation of quality control through artificial vision and intelligence, adapting these technologies to industrial environments where precision and speed are critical factors.
One of its most significant advances is the replacement of manual controls with an automated system, which reduces operating costs, minimizes the risk of human error, and guarantees a consistent standard of quality throughout production.
Real-time inspection is another of Rely’s innovative pillars, as it allows for the instant detection of defects in each part and the automatic activation of corrective measures, thus optimizing production flow and reducing losses due to defective products.
Thanks to its adaptive learning capabilities, the system continuously evolves, adjusting its inspection criteria and improving its accuracy as it gains experience with images and real-life cases.
Furthermore, Rely provides complete traceability to the production process through a detailed visual history of each manufactured part, facilitating quality audits, post-production analysis, and the rapid identification of problematic batches.
Finally, its predictive analytics approach allows for the detection of recurring defect patterns, facilitating anticipation of potential failures and contributing to the continuous improvement of industrial processes.
Thanks to this combination of automation, precision, and self-learning capabilities, Rely is establishing itself as an essential tool for companies seeking to guarantee defect-free products, optimize costs, and strengthen confidence in their quality standards.
