"Deep learning" will take over the judgment of good and defective products through visual inspection of products.
Our company offers an "image recognition solution" that automates tasks currently performed by inspectors visually, using deep learning for image diagnostics. Deep learning analyzes and diagnoses footage captured by drones in real-time. Workers can conduct inspection tasks immediately without entering hazardous areas. Please feel free to consult us if you have any requests. 【Four Main Tasks of Image Recognition】 ■ Object Detection: Classification and localization of rust, corrosion, cracks, etc. ■ Anomaly Detection: Extraction of abnormal areas from images ■ Class Classification: Categorization of images ■ Segmentation: Pixel-level categorization *For more details, please download the PDF or feel free to contact us.
Inquire About This Product
basic information
【Flow of Solutions】 1. Business Analysis - Hear the problems faced by the customer - Analyze whether image recognition can solve the issues, formulate hypotheses, and share the vision for resolution 2. Prototype Development - Collect training image data at the customer's site - Design and build the deep learning network 3. Verification, Evaluation, and Adjustment - Conduct a Proof of Concept (PoC) using the prototype at the customer's site - Verify and evaluate judgment accuracy and satisfaction, and make adjustments to achieve the goals 4. Systematization - If the effectiveness of the solution is confirmed, systematize the developed prototype and support its full-scale implementation at the site *For more details, please download the PDF or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
【For concerns like these】 ■ We want to reduce the burden on the field caused by chronic labor shortages. ■ We want to systematize the know-how of specialized engineers. ■ We want to safely carry out work in dangerous places such as high altitudes. *For more details, please download the PDF or feel free to contact us.
catalog(1)
Download All CatalogsCompany information
Since our establishment in 1982, we have positioned ourselves as a locally distributed software vendor, proudly identifying as a "group of IT engineers" that contributes to the information technology demanded by the times, and we have continually challenged ourselves with evolving technologies. By actively utilizing digital innovation, we transform our products, services, and business models based on the needs of our customers and society, while also practicing the transformation of our own business processes and corporate culture. Please feel free to consult us if you have any requests.