Aluminum Surface Defect Detection

Discover how Saiwa Inc. leveraged cutting-edge AI and deep learning to detect surface defects on both white and black paper with high precision. This project revolutionized quality control for a leading paper manufacturer—improving accuracy, reducing waste, and enabling real-time defect insights.

We at Saiwa Inc. are thrilled to announce the successful completion of an innovative project focused on the measurement of interpupillary distance (IPD) and pupil height. This groundbreaking solution was developed in collaboration with Innovation Venture Farm to address the growing need for precision in optical device fitting and design. By leveraging cutting-edge AI techniques and the Mediapipe framework, our solution detects and calculates critical parameters such as the center of the pupil and the lowest point of glasses lenses. These measurements are crucial for applications in eyeglasses, VR/AR headsets, and other optical technologies. The results are delivered with unmatched accuracy and efficiency, empowering manufacturers to deliver tailored products to their users. This project also integrates Saiwa’s Annotation Services, which ensure data labeling precision and scalability, making it easier for users to achieve reliable outcomes.

RFDs are DNA sequences that induce a cleavage (cutting) reaction in a substrate strand in response to the presence of a target. In this project, we at saiwa team segmented and measured regions of interest (the dots that constitute the microarray) relative to the background in printed RFD images. Printed microarrays can be used to test for the presence of specific targets (i.e., bacteria). We used around 100 RFD images that were provided by Didar Lab., McMaster uni.​

For a long time, product quality control relies on manual examination in the manufacturing field. In the past several decades, automated surface inspection (ASI) have become more widespread as hardware and software technologies have developed rapidly. To lower labor costs and enhance examination efficiency, more factories start to employ embedded machines for product inspection. ASI platforms use special light sources and industrial cameras to capture the images of the product surface, and machine/computer vision technologies to filter out defective products, which can reduce labor greatly. High-performance cross-product ASI algorithms are urgently needed in manufacturing.

This is a corrective exercise mobile application which is developed for Android platform. Corrective Exercise is a technique that leverages an understanding of anatomy, kinesiology, and biomechanics to address and fix movement compensations and imbalances to improve the overall quality of movement during workouts and in everyday life. This technique is used to help assess and determine the root cause of imbalances and faulty movement patterns that lead to issues with posture, balance, and total body coordination.

In 2026, Saiwa continues its collaboration with Ducks Unlimited Canada (DUC) to further enhance drone-based monitoring of invasive aquatic vegetation. Building on last year’s high-accuracy RGB-based Water Soldier detection pipeline, this new phase focuses specifically on determining whether each detected plant is located above or below the water surface.