Our goal for building Melanoma Spotter was to train artificial intelligence algorithms to detect skin imperfections, especially melanoma, the most serious type of skin cancer.
While a physical examination is the safest and surest way to detect worrisome changes on the skin, affordable and accessible diagnostic tools might urge individuals to schedule an appointment sooner.
Melanoma detected early has a 99% five-year survival rate.
Lego AR is an augmented reality instruction for building Lego projects. In this experiment, we wanted to train a neural network model to recognize different Lego bricks.
Lego AR was a relatively fast project, but the prototype we’ve built still delivered impressive results and revealed issues that possible future extensions of the project would have to overcome to be a viable solution as a mobile application.
Refined is our solution to help furniture store owners sell their merchandise more effectively. 3D product visualizations that render directly in the customer’s space enhance user experience.
Our assumption for Refined was to create a tool that integrates easily with any website and e-commerce shop. Analytics generated by Refined would let business owners measure customer engagement and the impact of 3D model visualization on sales.
The solution is simple and doesn’t require the customer to install additional apps — the model renders via a mobile web browser and displays on the user’s screen.
Remote Assist is a comprehensive solution for virtual troubleshooting across industries. The app fits into contexts where on-premise technicians aren’t available, or on-site service is costly.
A convenient way to solve complex problems, Remote Assist supports users through visual and audio modes. Using augmented reality, the app lets the consultant point to specific elements in the user’s environment. Consultants can guide users through tasks ranging from repairing highly specialized machinery to tapping a keg.
Remote Assist handles multiple video connections and can be implemented in help desks to improve troubleshooting through greater immersion.
