We are proud to announce the innovative research project that bridges home cleaning and automation by utilizing Deep Learning.


Thanks to Deep Learning technology, autonomous robotic vacuum cleaners are not utopian anymore. They are rapidly growing in popularity, and today, they can be found in most homes. Features like, self-drive, exclusive of human interactions are becoming common and nondisruptive motion; plus other key features in the cleaning process: Improved efficiency and UV sterilization are the top two features present in most models. However, the automatic cleaning industry focuses mostly on solving the so-called “Travelling Salesman Problem” while the Information Technology (IT) and home automation industry go much further with recent Artificial Intelligence (AI) developments.


Deep Learning Utilized in Home Cleaning Automation


Deep Learning and AI systems are fast becoming embedded into most of today’s home Automation systems. That’s what our CEO, Fortino Barajas had in mind once he decided to commit company resources into research that could lead into a new generation of improved cleaning products and tools that perform more than just simple cleaning. His drive to keep Maids by Trade as a leading company started with his collaboration with Green Seal, by creating a National Standard for the house cleaning industry to be used by companies across the U.S., and now pushing the company to become even more innovative by implementing AI technology.


Deep Learning, Open Source by Google

The prototype built utilizes TensorFlow, an Open Source Project developed by Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. Instead of relying on simple sensor inputs to navigate, this prototype maps your entire home including the objects and cleans every inch of your floor without touching the obstacles. Besides that, it senses where obstacles are located, also, the advanced neural network could even predict where they could be moved to if not present.

The prototype built – a first of its kind utilizing TensorFlow neural network. Based on tests conducted, it improves efficiency by up to 80% to beat some of the most advanced models in the market. Incorporating AI into robotic vacuum cleaners allowing true autonomous operation is a result achieved in collaboration with computer scientist, Stefan Certic and the company’s CEO.

According to Fortino, an inclusive attitude is the key to assuring community growth, this clearly shows his commitment to make a change; now it’s up to Maids by Trade’s board to decide if the company is going to launch its own line of new cleaning products, and distribute it through its franchisor Purple Forté, the company responsible for franchising the house cleaning brand Maids by Trade™; another option to partner with existing manufacturers to pursuit launching and distributing the new product. Whatever the approach we take, TensorFlow powered cleaning products and tools affirms our commitment to the implementation of new technologies, along with robust automation to stay innovative and to offer better service to clients.