AI & Machine Learning
AI and Machine Learning (ML) are making a significant impact in embedded systems and applications, especially in processing . Using our ultra-low power hardware and software solutions, we enable AI and ML capabilities in battery-powered devices, allowing them to generate real-time events while still preserving battery life. This approach helps reduce the need for heavy bandwidth usage and lowers energy consumption.
AI and ML have broad applications across many industries, and at Roedan, we see great potential for smart devices to enhance operations in various sectors. By processing data at the edge, businesses can gain valuable insights and make quicker decisions, improving overall efficiency.
Our solutions also help detect anomalies early, preventing issues before they arise and ensuring quick, proactive maintenance. This not only reduces costs but also improves system performance and response times.
AI/ML Solutions done by Roedan
At Roedan, we are actively developing solutions that leverage AI and ML to address challenges across various industries.
One of our projects is the development of a passive fall detection system designed for healthcare settings. Inspired by the simplicity and efficiency of passive infrared (PIR) sensors, this system can detect falls in real time without requiring active input from patients or staff. By using AI and ML algorithms, the system can accurately identify fall events, alert caregivers, and help prevent serious injuries, all while minimizing the need for additional resources.
We have also designed a road condition detection system focused on pothole identification. Using AI and ML, this system can analyse data from vehicles and sensors to detect and map potholes in real-time.