MEET THE FORCES DRIVING THE FUTURE OF TECHNOlOGY

Efficient In-Sensor and Multimodal Signal Processing using Hyperdimensional Computing Algorithms Implemented on an FPGA

MINDS is a low-power AI chip that learns and adapts directly inside sensors. It processes visual and infrared signals in real time, recognizing objects instantly without needing cloud support. Using advanced hyperdimensional computing on FPGA hardware, it delivers fast, reliable decisions for defense and smart sensing applications.

The Vision-to-Motion (V2M) Engine

Our algorithm engine automates the factory stopwatch. Using computer vision, it analyzes video of workers and instantly translates their movements into industry-standard predetermined motion time system data such as MOST/MODAPTS. This replaces hours of manual analysis by engineers, allowing manufacturers to optimize their assembly lines faster and more accurately.

Coordinate with Care: A Digital Educational Platform

Our innovation seeks to improve care coordination processes related to transitioning from pediatric to adult care, inpatient procedures, and outpatient procedures by creating a virtual platform that contains educational modules for patients, caregivers, and healthcare professionals.