The William D. (Bill) Mensch, Jr. Best Use of Embedded Intelligence Innovation Award
Given at The University of Arizona College of Engineering on Design Day
Description: This award for best use of embedded intelligence recognizes the engineering innovation team that best integrates embedded intelligence into a potential commercial product that was developed in a senior design project. Specifically, the award will be granted to a student team that has built a smart connected prototype that may have a commercial market. Embedded Intelligence is characterized as the ability of a product to sense, process, communicate, and actuate (SPCA) based upon information gained from understanding of both itself and others and for the benefit of many. Preference will be given to designs with SPCA capabilities that can demonstrably surpass human abilities to perform the same function.
Background: Embedded Intelligence (EI) is defined and used here to include the combination of software and micro-processing hardware used in Industry 4.0 and beyond Embedded Systems, Intelligent Systems and/or characterized as having Artificial Intelligence. Application-specific EI is used in a wide range of solutions in products like microwave ovens, refrigerators, pacemakers, smartphones, automobiles, robots, drones, and airplanes. The most common feature of these products, which fall into the category of “Internet of Things” is that they communicate with each other (increasingly through what is described as “cloud services,” which constitutes a higher level of intelligence).
Self-Nomination Requirements: In order to self-nominate, the design team is required to visit The Bill and Dianne Mensch Foundation, Inc. website at The MenschFoundation.org which promotes richer computer science and engineering education. There they will gain a better understanding of the concepts associated with EI. In the event the website ceases to exist, the College of Engineering will locate alternative supplemental materials on the topic of EI.
A 1-2 page self-nomination document must be submitted to the College of Engineering. Nomination document(s) may be shared with The Bill and Dianne Mensch Foundation, Inc. in a nonvoting capacity, subject to the Federal Education Rights and Privacy Act (FERPA) and confidentiality considerations. The document should include a brief description of what was sensed, processed, communicated, and actuated in the system designed in the project. In addition, in keeping with entrepreneurial aspects of the award, the document must include a statement on the innovative value of the designed system to mankind.
Prize: Prize amount is $1,000. Amount may be reevaluated based on the available Payout from the endowment.
2019 Award Winner
Team #18055 Unmanned Aircraft Ground Control System for Automated Date Pollinator
Project Description: The system, designed in collaboration, controls an unmanned aircraft as it flies through a date palm plantation and pollinates the palms. The computational system mounted on the aircraft uses computer vision and artificial intelligence to observe, model and act on its environment to efficiently and safely complete the pollination process. This includes the identification of the palm trees, the command to release pollen, and the detection and avoidance of obstacles. The system provides the date farmers with a modular product capable of pollinating a field of date palm trees in an industrial-scale farming environment. This allows for significant savings by reducing labor costs and the risk of injury during manual pollination.