Kitov.ai: Revolutionizing Automated Visual Inspection in Manufacturing

Kitov.ai is a cutting-edge AI-powered visual inspection platform designed to transform quality control in Industry 4.0 environments. By combining artificial intelligence, deep learning, and classical 3D computer vision, Kitov.ai enables QC engineers to define inspection requirements directly on CAD models, drastically reducing planning time from weeks to days. Its open software architecture seamlessly integrates with existing robotic systems, automation tools, and enterprise quality management platforms, making it ideal for high-mix and customized manufacturing across aerospace, defense, automotive, medical devices, electronics, and energy sectors. The platform excels in detecting both cosmetic and mechanical defects—including scratches, dents, missing screws, bent pins, and soldering inconsistencies—with precision and adaptability.

Key Features:

• CAD2SCAN: A plug-in that extracts geometric, PMI, and semantic data from CAD models to define inspection tests directly in design software.
• Smart Planner: Automatically generates optimized robot inspection trajectories, ensuring 100% part coverage, collision avoidance, and efficient motion planning.
• AI-Driven Defect Detection: Hybrid system using deep learning, traditional machine vision, and semantic detectors (e.g., for screws, labels, ports) to identify and classify defects with high accuracy.
• 3D Metrology & Imaging: Supports 2D/3D imaging and 3D alignment for parts with complex geometries and reflective surfaces.
• K-BOX Controller: A ready-to-use, modular visual inspection unit compatible with industrial and collaborative robots (cobots), featuring integrated AI, lighting control, and optical sensing.
• Inspector Platform: A browser-based interface for real-time inspection execution, defect review, and reporting with 3D renderings and golden part comparisons.
• Continuous Learning: Proprietary detectors improve over time by learning from previously marked non-defective parts and user feedback.
• Flexible Integration: Open platform supports third-party detectors, legacy inspection IP, and communication protocols like Profinet and EtherCAT.
• Rapid Reconfiguration: Enables quick loading and updating of inspection plans for new or variant parts.
• Automated Reporting: Generates detailed reports for quality management systems and exports results to PLCs and automation platforms.
• Root-Cause Analytics: Provides data insights for continuous improvement, influencing design and process engineering decisions.
• Track & Trace Functionality: Supports barcode-based production and inventory control.
• Industry-Ready Deployment: Successfully implemented in high-stakes environments like missile interceptor systems and aerospace turbine disc manufacturing, delivering up to 25% quality improvement and ROI within two years.

Pricing: Kitov.ai offers both Systems and Module Licensing options, providing scalable access for organizations of varying sizes and needs. The modular approach allows businesses to adopt only the components they require, making it a flexible and cost-effective solution for advanced visual inspection.

Conclusion: Kitov.ai stands at the forefront of intelligent manufacturing, delivering a powerful, adaptive, and future-ready visual inspection system that accelerates digital transformation, enhances product quality, and empowers engineers across industries to build smarter, more reliable production lines.