Data Analytic Services are designed to enhance your organization's ability to manage and analyze data effectively. By leveraging advanced techniques, we provide predictive analytics, AI-powered production planning, and root cause analysis. Our solutions are highly scalable and designed to optimize operational efficiency while minimizing costs.
Tailored Model Development: We create custom classification and regression models optimized for your specific business needs. By carefully considering factors such as task type, data characteristics, and infrastructure, we ensure that the chosen model is the best fit for your project.
Comprehensive Model Evaluation: Our rigorous evaluation process guarantees the accuracy and stability of our models. We employ a variety of techniques, including cross-validation and hyperparameter tuning, to fine-tune models and prevent overfitting.
This project aims to develop a state-of-the-art barcode recognition system utilizing Machine Vision technology. The system will be seamlessly integrated with an Excel-based database and equipped with automated label printing capabilities, streamlining the production process. Operating on a Windows 10 platform and featuring a user-friendly GUI, this innovative solution will significantly enhance accuracy and efficiency in barcode data management.
This project aims to develop a cutting-edge Optical Character Recognition (OCR) system utilizing artificial intelligence to extract numerical data directly from machine screens. By capturing VGA signals, the system eliminates the need for physical interaction with the machines, ensuring a non-invasive and efficient data collection process. The AI models will be trained on extensive datasets to achieve high accuracy in reading various numerical formats displayed on different types of machinery.
This project aims to develop an innovative system capable of accurately reading readings from hot water meters using an AI-powered camera. The system will be designed to operate efficiently on embedded devices, leveraging Optical Character Recognition (OCR) technology to process data within seconds. By combining AI and image analysis, this solution will significantly enhance the speed and accuracy of hot water meter data collection.
This project aims to develop an advanced driver drowsiness detection system utilizing artificial intelligence to monitor driver alertness. By analyzing facial features, specifically the position of the eyes and mouth, the system can accurately determine whether a driver is falling asleep. This technology has the potential to significantly reduce accidents caused by drowsy driving.
This project aims to develop a system that can assess and control the quality of sugar crystals during the production process using Machine Learning (ML) technology. The system will be able to detect and measure the size of sugar crystals in real time, enhancing the efficiency of the sugar refining process from high purity syrup. By analyzing statistical data, the system will contribute to improving product quality.