MicroAI AtomML for ESP32 | Security Tutorial
Training AI on the Edge with MicroAI AtomML™
Videos
27031
post-template-default,single,single-post,postid-27031,single-format-standard,bridge-core-1.0.4,mec-dark-mode,translatepress-en_US,bridge,mega-menu-top-navigation,ajax_fade,page_not_loaded,,qode_grid_1400,qode-content-sidebar-responsive,qode-theme-ver-18.0.6,qode-theme-onetech,disabled_footer_bottom,wpb-js-composer js-comp-ver-5.7,vc_responsive
 

MicroAI AtomML for ESP32 | Security Tutorial

MicroAI AtomML for ESP32 | Security Tutorial

MicroAI™ Atom for ESP32 | Security Tutorial

MicroAI™: MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all-time series data and can be used to detect anomalies or abnormalities, make one-step-ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).
This video covers MicroAI™ as implemented in a Security use case. Security is defined below:
Security: Simply put, security is the use of internal monitoring to predict abnormalities in the usage
consistent with the likes of security breaches or vulnerabilities.
This video shows MicroAI™ Atom for ESP32
MicroAI™ can be supported on any ESP32 based board. This SDK is tailored to the ESP-WROVER-KIT which provides an onboard Micro-SD card slot, LCD panel, and I/O expansion capabilities. There are several development environments available that support the ESP32 devices. The one discussed in this SDK is provided free of charge by the manufacturer of the ESP32.
Security attacks may behave differently in different environments and the machines you are running them from. It is possible that some affected devices will lose internet connection after an attack and you may need to reboot your device.

youtube WATCH IT ON YouTube