To address the labor shortage, we support stable on-site operations while reducing inspection workload with AI.
This is an AI-based visual inspection system aimed at addressing the ongoing issues of labor shortages and recruitment difficulties in the field. The AI analyzes camera footage in real-time, automating and streamlining verification tasks that have traditionally relied on human labor. By supporting processes that require full inspections and repetitive simple verification tasks, the system reduces the burden on inspectors and enhances productivity. F&L Solutions' AI image recognition not only offers high-speed and high-precision recognition but also provides model adjustments tailored to specific applications, implementation support, and operational design. We propose not just to integrate AI as a standalone solution, but as a system that can be continuously utilized in the field.
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basic information
【Main Features】 - Streamlined inspection work with real-time appearance checks using AI - Continuous monitoring and judgment by AI to support small-scale operations - AI models can be flexibly adjusted according to the target objects and processes - Comprehensive support from implementation to operation and integration with other systems
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Applications/Examples of results
- Automation of the manufacturing line - Streamlining of quality control - Sorting and label verification in logistics - Efficiency improvement in agriculture and sorting processes *For more details, please refer to the PDF document or feel free to contact us.*
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Company information
At F&L Solutions Inc., we offer manufacturing solutions, as well as logistics solutions, maintenance, and other solutions. We handle production instruction systems, smart card applications, smart equipment inspection systems, and more, so please feel free to contact us if you have any requests.
![[AI Image Inspection Case] Measurement inspection of the angle and length of the chamfered part of a printed circuit board.](https://image.mono.ipros.com/public/product/image/33e/2001489335/IPROS3741283511928630211.png?w=280&h=280)
