Drug Discovery System
An advanced computer vision system identifies and classifies the behavioral effects of new drug compounds
Carnegie Mellon University and General Motors built an autonomous SUV that won first place in the 2007 DARPA Urban Challenge
NREC develops innovative robotics technology for several sectors including automotive, health care, floor cleaning, freight, landscaping and more. We have helped numerous clients with challenging problems by focusing on the final objectives such as unit cost, manufacturability, commercialization potential, system maintenance, ease of utilization, etc. Please, don’t hesitate to bring us your most challenging problems.
Autonomy for vehicles, machinery and equipment
Collision warning, virtual trainer and equipment optimization
3D Teleop for remote operation
Anomaly detection and process optimization
Safety for vehicles, equipment, robots and humans
Surveillance & Security
Shipping & Receiving
Inventory & Storage
Novel Testing Methods
A vision-based, dual manipulation system.
Advanced vision system to track and classify mouse behavior.
Mini Crusher was designed from the ground up to be highly mobile, highly stable and highly customizable.
More Projects in Other Industries
NREC designed and implemented a medical image registration system to accurately estimate a patient’s position for therapy.
NREC developed techniques for automatically analyzing large amounts of video collected from vehicles traveling on highways.
A vision-based vehicle classifier which uses machine learning techniques to identify cars and trucks in video images.
NREC and Columbia University developed a computer vision algorithm to monitor patients in clinical trials for spinal muscular atrophy (SMA) therapies. The vision system can reduce the cost of clinical trials for drug therapies and speed up their approval by the FDA.
An intelligent portable electrocardiogram (ECG) can automatically diagnose arrhythmias that could lead to sudden cardiac death (SCD).