Abstract
The chapter portrays a new development in the field of embedded systems.
It showcases the combination of Machine Learning algorithms and low-memory
microcontrollers (ESP32-CAM). The uniqueness of this idea lies in the fact that
Machine Learning is generally perceived as a processor-intensive task that requires
high memory and storage. However, as seen in this chapter, one may soon realize how
wrong this notion is with emerging technologies that are taking over the globe. This
project portrays the successful implementation of a binary colour classification model
on the ESP32-CAM with 68% accuracy post-training result with a mere 15 images of
each colour. Machine learning has increased over the years. Some applications include
image classification, object detection, and question-answering. This work merely puts
out awareness in this domain and is hopeful that dedicated efforts towards it can solve
many industrial problems.
Related Journals
Recent Patents on Space Technology
Recent Progress in Space Technology (Discontinued)
Current Alternative Energy
Recent Patents on Mechanical Engineering
Recent Patents on Engineering
Anti-Cancer Agents in Medicinal Chemistry Test_Journal
Current Chinese Engineering Science
Current Biochemical Engineering (Discontinued)
Journal of Fuzzy Logic and Modeling in Engineering
Journal of Intelligent Systems in Current Computer Engineering
Related Books
6G Wireless Communications and Mobile Networking
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Solar Thermal Systems: Thermal Analysis and its Application
Recent Developments in Artificial Intelligence and Communication Technologies
40 YEARS OF SHS: A LUCKY STAR OF A SCIENTIFIC DISCOVERY A Presentation with Elements of a Scientific Lecture
A Review: Chill-Block Melt Spin Technique, Theories & Applications