Always-on Time Series Data AI Analysis for Industrial Applications

Using time series data from audio, vibration, or accelerometer sensors for determining preventative maintenance or impending failure of a system is a well-understood principle. However, implementation with limited local power, remote or harsh environments, slow or poor connectivity and robust form factor requirements make adding AI to industrial applications a challenge. Yet adding real-time localized AI decision-making can save significant unscheduled downtime and drive greater process efficiencies. For industrial edge AI, analog computing which draws inspiration from the evolution of brain power, is a compelling solution, providing ultra-low power, small physical form factor and real-time localized decision-making support via low latency inferencing. Blumind is the leader in all analog edge AI with its AMPL™ technology.

Latest news

Venture LAB Video jpg
May 03, 2024
May 03, 2024
Meet ventureLAB's Hardware Catalyst Initiative Company, Blumind

Learn how Blumind delivers easy to use all analog solutions that are more effici…

Devices 01
April 23, 2024
April 23, 2024
Application Brief - All-analog AI for Smart MEMS Microphones

Next generation MEMS microphones are integrating AI for voice, keyword and Speec…

Designer 5
April 03, 2024
April 03, 2024
Blumind's all-analog AI for Smart Tires

Next generation Smart Tires embrace ultra-low power all-analog AI to support acc…