Research Terms
Computer Science Engineering Sensors
Over 322 billion gallons of water are used each day within the United States, with the majority for power generation, irrigation, consumption, and other uses. As water is an essential service, constant monitoring via flow meters is required to ensure water is supplied without interruption.
This technology describes devices and algorithms for measuring the flow of liquids within a system or network. The device is battery-free and communicates wirelessly with a base station. Sensors within the device capture flow data and communicate it with the base station. In addition, the platform utilizes a novel set of algorithms to monitor flow data and automatically detects anomalies, and alerts of problems (e.g., leaks).
FAU is seeking partners to advance this technology into the marketplace through licensing or development partnerships.
Energy harvesting is an emerging technology that enables devices to capture energy from their surrounding environment and convert it into a usable power source. Complex circuitry charges an energy storage cell, manages power, provides regulation and protection. These devices have the potential to reduce or eliminate the need for batteries for a multitude of devices.
This technology describes a hardware and software platform to improve energy harvesting and load balancing in resource-limited devices. The circuitry uses microprocessors to obtain power information from storage cells to manage charging and discharging based on the requirements from the device being powered. It improves device performance while reducing the need for bulky batteries.
FAU is seeking partners to advance this technology into the marketplace through licensing or development partnerships.
Aquaculture is the breeding, rearing, and harvesting of fish, shellfish, and aquatic plants for food and feed supply. It is expected that aquaculture is expected to produce nearly two-thirds of the fish for global consumption by 2030. Although aquaculture has proven to be a successful method for food production, the field is facing challenges that compel innovation to ensure its sustainability.
Researchers at FAU have developed a novel artificial intelligence-driven water-quality monitoring framework. This system will achieve seamless human/machine collaboration and conduct automated sampling at frequencies relevant for accurate prediction. The novel technology provides a platform that enables cost-effective water quality measurements with advanced accuracy and less environmental burden.
FAU is seeking partners to advance this technology into the marketplace through licensing or development partnerships.
