The Challenge An innovative startup aiming to revolutionize coral farming operations needed a scalable solution to monitor the growth and health of hundreds of thousands of coral microfragments. The existing manual processes were labor-intensive and lacked the efficiency and precision required…
Heavy Equipment Tracking with Tailored Vision Solutions
The ChallengeA large construction equipment company needed an advanced computer vision solution to identify and track heavy equipment loaded onto moving trucks. The goal was to create a system that could operate reliably across diverse settings and environmental conditions, ensuring accuracy…
Enhancing Surgical Predictions with Computer Vision
The Challenge An innovative spinout from a prominent research institution faced significant variability in their predictive model for spinal surgery complications. Their proprietary regression model relied on geometric measurements of spinal discs derived from MRI scans. However, these measurements were performed…
Aquatic Insect Classification for Ecosystem Monitoring
The Challenge Aquatic insects are vital indicators of water quality and ecosystem health, serving as critical components of freshwater ecosystems. However, existing insect identification tools focus primarily on terrestrial species, leaving a gap in the ability to classify aquatic insects efficiently….
Scaling Video Processing for Foot Traffic Monitoring in Rwanda
The Challenge A non-profit organization aimed to assess the impact of newly constructed bridges in rural Rwanda by monitoring pedestrian traffic. They implemented a system using low-cost, motion-activated digital cameras combined with open-source computer vision algorithms to count bridge crossings. However,…
Anonymizing Clinical Trial Data with Computer Vision
The Challenge A large pharmaceutical company conducting a skincare clinical trial needed to anonymize participant data to comply with stringent regulatory requirements. The process involved masking identifiable features such as tattoos, piercings, and facial characteristics, but maintaining the integrity of the…
Measuring Golf Ball Deceleration with Computer Vision
The Challenge Understanding the deceleration of a golf ball on a putt is crucial for players to fine-tune their performance and adapt to varying green conditions. Traditional measurement methods are manual and lack precision, making it difficult for players to consistently…
Enhancing Construction Site Safety with Computer Vision
The Challenge A large multinational construction company sought to improve efficiencies, reduce costs, and leverage existing data assets. Despite deploying high-resolution cameras on active construction sites, the rich image and video data collected remained underutilized. The company aimed to harness this…
Accelerating Cardiovascular Diagnostics with Computer Vision
The Challenge Cardiovascular disease (CVD) impacts millions of people, with many cases remaining undiagnosed due to limitations in existing diagnostic methods. Non-invasive procedures like Carotid Intima-Media Thickness (C-IMT) testing are vital for assessing vascular health, identifying plaques, and diagnosing CVD. However,…