The comprehensive scope of the project reflected an intricate interplay between hardware, machine vision algorithms, communication protocols, and software. The endeavor necessitated a meticulous selection process, an informed algorithmic approach, and a strategic perspective on future system development, all synergistically contributing to realizing the project's overarching objectives.
We can segment the scope of work into two distinct projects: the Martha project and ADA - elevator audit application. It is worth noting that ADA is an integral component of the communication part within the Martha system.
Martha is not just a machine; she is a robot that continuously learns the building's dynamics by understanding user habits and predicting their intentions. She follows users, navigates them without the need for buttons, and always knows where she’s needed next. Martha’s self-learning capabilities allow her to continuously acquire new skills, making it easy to add functionalities based on property owners' needs – similar to downloading an app on a smartphone.
Martha can also display personalized offers on in-cabin screens, or serve as a real-time bulletin board for building administrators to update content, including videos, images, and information. With AI-driven automation, Martha self-diagnoses any issues, alerts handlers, and can even facilitate remote repairs, minimizing downtime and additional costs. Furthermore, Martha enhances security by capturing images in-cabin and on floors, ensuring that the building remains secure.