Sotec Quail (Quality Inspection Layer) is a flexible Cloud/Edge solution designed to enable visual quality inspection through the power of advanced AI by Google. Providing a seamless training, deployment, and management of sophisticated machine learning models, Quail empowers manufacturers to detect even the most subtle defects. Quail Cloud provides a centralized platform for model development and management, while Quail Edge delivers real-time inspection capabilities, adaptable to challenging customer needs and deployable across most industrial environments. This flexible architecture ensures that we can tailor the solution to your specific requirements and existing infrastructure.
Leveraging the robust infrastructure of Google Cloud’s Vertex AI, Quail Cloud provides a centralized platform for:
Quail Edge brings the power of AI-Vision directly to your production floor, enabling real-time inspection and seamless integration with existing automation systems.
Leverage advanced AI-Vision models for precise anomaly detection.
Automate visual quality checks, reducing manual inspection time and costs.
Identify defects early in the production process, minimizing waste and rework.
Adapt to changing production needs with a cloud-based and edge-enabled solution.
Integrate with existing camera systems and automation infrastructure.
Define the information and interaction based on your individual needs.
Quail empowers you to achieve unprecedented levels of quality control, driving efficiency and innovation in your manufacturing operations.
Contact us today to learn more about how Sotec Quail can transform your visual quality inspection processes.
Integrating robotics with advanced visual quality inspection systems revolutionizes manufacturing by enhancing precision, consistency, and efficiency. Robotic platforms enable inspections of complex geometries and dynamic objects, overcoming limitations of static camera setups. AI-powered vision systems, coupled with robotic precision, ensure accurate defect detection, minimizing human error and fatigue. This synergy leads to faster production cycles, reduced waste, and improved product quality, ultimately driving significant advancements in automation and quality control.
Robotic flexibility allows for multi-angle and dynamic inspections, capturing defects on intricate parts that are inaccessible to static cameras.
Robotically guided inspections ensure consistent positioning and image capture, minimizing variations and improving defect detection accuracy.
Automating inspection tasks reduces manual intervention, freeing up human resources for other critical operations and accelerating production cycles.
As part of the RoX research project and in collaboration with the team at Intrinsic, we’ve integrated our quality inspection layer, Quail, onto the Intrinsic platform to create an AI-powered inspection solution. At Hannover Trade Fair, we’re demonstrating this robot-guided quality control process, which will allow manufacturers to detect defects earlier and optimize their production.