European water chestnut (Trapa natans) is an invasive floating-leaved aquatic plant that is capable of out-competing native species and altering Ontario’s aquatic ecosystems. In addition to ongoing control of known populations in Ontario, this species is designated as a “Prohibited Species” in Ontario under the Invasive Species Act, 2015 to aid in prevention, detection and control of the species. Ducks Unlimited Canada (DUC) performs surveillance and control of this species in eastern Ontario in attempts to eradicate existing populations and prevent the establishment of new ones.
This project is performed to advance DUC’s capability of UAV based surveillance of European Water Chestnut through machine learning. As DUC builds capacity with vegetation mapping and invasive species surveillance, we are looking to identify how autoclassification and/or machine learning can be integrated into the process to increase efficiency. This project will focus on classification of European water chestnut (EWC) with a goal of operationalizing a mapping technique that will be helpful for plant identification and can be used to identify existing and new infestations.
Project customer: Duck Unlimited Canada Company
Project status: Under development [October 2022 – now]
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Image processingDetection / AuthenticationAnnotation / Learning
Image Processing Services
Image processing refers to a collection of techniques that apply specific operations on an image in order to create an improved version of it or additionally manipulate digital images to make the process of extracting information using computer vision algorithms simpler or quicker.
Detection and Authentication Services
Detection is the capacity to detect and analyze objects of interest, whereas authentication is the ability to distinguish one person from another.
Annotation and Deep learning Services
Image Annotation is the process of labeling images in order to train a machine learning model. Annotation is a prerequisite for all supervised machine learning models. Deep learning is a subset of machine learning methods that uses artificial neural networks to extract high-level features from raw input data.
We offer a number of AI powered drone applications to automate the processing of high-resolution aerial images in agriculture, greenhouse, ecology, habitat monitoring and environmental conservation. Our applications compile the drone imagery, generating customer-requested reports with high precision and efficiency, ultimately accelerating knowledge synthesis by removing the tedious aspects of dealing with large and complex data.
- ProjectsDefect DetectionCorrective ExerciseEWC Detection
Aluminum Surface Defect Detection
In this project, using machine learning and Saiwa Anomaly Detection service, we detect and localize the location of micro and macro defects on a casting line, including: crack, frost, frost patch, longitude frost and mold oscillation. We have successfully implemented Aluminum Surface Defect Detection solution for CastTechnology in Canada. This solution is delivered via a simple user interface where users can run the defect detection APIs.
Corrective Exercise mobile application
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 this project, a corrective exercise mobile application was developed for Android platform. For more details, please visit project dedicated page.
Detection and Surveillance of European Water Chestnut (EWC)
European Water Chestnut (Trapa natans) is an invasive floating-leaved aquatic plant that is capable of out-competing native species and altering Ontario’s aquatic ecosystems. Ducks Unlimited Canada (DUC) performs surveillance and control of this species in eastern Ontario in attempts to eradicate existing populations and prevent the establishment of new ones. To enhance DUC‘s capability for UAV-based surveillance of EWC through machine learning, we at Saiwa implemented the EWC detector software. Please visit here for more details of this project.
Saiwa is a start-up that uses a service-oriented platform to deliver artificial intelligence (AI) and machine learning (ML) services and solutions. Despite the fact that the Saiwa story began in January 2021, we had a lengthy journey that motivated us to design this product. We are pleased to inform that we have made three versions of our platform public so far, and we are expanding our collection of services by closely monitoring new state-of-the-art AI and ML technologies.
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