Our Work - Application of the latest technologies in practice

Commonwealth Bank (CBA), Australia's largest bank, identified two major issues in the food industry's complex supply chains: a lack of traceability in the logistics chain and instances of food spoilage during transportation. To address these issues, CBA conducted a pilot project using an Ethereum-based blockchain for traceability and a hardware module (Particle B Series LTE CAT M1 development board) to monitor temperature and humidity. Collaborating with partners such as Olam Orchards Australia, Pacific National, Port of Melbourne, Patrick Terminals, and OOCL Limited, the project successfully demonstrated the integration of sensors, cloud technology, and power optimization to improve the efficiency and reliability of food transportation.

The text discusses the conventional use of PID controllers for DC motors and proposes the possibility of replacing them with neural networks. The idea is to train a neural network on a small microcontroller, such as an ARM Cortex-M0, to learn how to control the motor during a training phase. The trained neural network, designed to depict the inverse function of the motor, can then be applied in real-time as a controller. Experimental results demonstrate success with a neural network featuring a single hidden layer of seven neurons, showcasing its potential for real-time motor control and even continuous learning during normal operation.