Computer Vision Startups in Singapore, Singapore

AI-powered tool for the detection of heart risk. The company's flagship product, Echo Copilot, provides automated, real-time echo reports and disease detection by strain imaging, Aortic stenosis measurements, quantitative analysis of cardiac structure and function supporting healthcare professionals in interpreting echocardiograms.

Cloud-based platform for defects analysis and visual inspection. It has developed an AI-powered platform specifically for the manufacturing industry. It leverages technologies like factory data analytics, computer vision, equipment monitoring, and IoT analytics for predicting defects and variability in product quality.

ViSenze is a provider of an AI-based visual search and recognition tools for e-tailers. Its technology solution uses deep learning & computer vision techniques to conduct image extraction & recognition, adaptive machine learning and dynamic contextual analysis. It enables shoppers to search & discover products easily on online platforms. It also recommends products based on shopper's product purchase behavior and insights. ViSenze helps businesses in eCommerce, mCommerce, online display advertising, database management, and more. Clients include Flipkart, Essilor, and more.

Developer of AI and IoT-based aquaculture solutions for farms. It develops smart aquaculture solutions for farms to optimize their feeding practices thereby lowering their costs and preventing waste and damage to the environment. Its technology stack includes solar-powered IoT devices that are deployed on aquaculture farms in the ocean to film fishes and measure patterns in their behavior using computer vision. Through machine learning algorithms the solution can detect when fishes are hungry, and automatically release feed for them. It also leverages satellite imagery to augment these insights by providing information about the temperature of the sea. The company claims that the devices process the data using edge computing and compress them on-site to enable the transfer of data back to the shore with limited bandwidth. Additionally, it determines how much power it will be able to collect from solar energy based on weather forecasts.