Audio Classification for IoT ARM64 and Ubuntu Server X86_64

AudioClassify.com

Audio Classification Custom Software Source Licenses
Server and Embedded Linux Applications

Free Server Demonstrations Are Available Now

Features

  • Custom High Performance C, C++, and NodeJS for Linux Ubuntu Server or 32-bit/64-bit ARM Device
  • Custom Uncompressed Audio (S16LE PCM) JavaScript for Web Browser (e.g. Chrome or Chromium)
  • 521 Audio Classes in Real-time (TensorFlow YAMnet Model)
  • Pre-defined Alert Groups (e.g. Danger and People) with Four Selectable Schedules Per Alert Group
  • User-defined Alert Groups with Easy to Use Browser Based Editor
  • Pre-defined Schedules, e.g. Calendar ("New Years Day") or Day of Week ("M-F 8:00 a.m. to 5:00 p.m.")
  • User-defined Schedules for Calendar and Day of Week
  • Audio Recording of Alerts (up to 120 seconds before and 120 seconds after alert condition)
  • Alert Notification via Email, SMS, HTTPS Post, and/or Output Pin Activation
  • Web Browser Microphone Inputs (Uncompressed S16LE, 16,000 samples/sec, 256 Kbps) for Accurate Audio Classification
  • Internal High Sensitivity MEMS Microphone (Uncompressed S16LE) for Embedded Linux Devices
  • Optional External High Sensitivity MEMS Microphone
  • Optional RTSP Audio Input (accepts audio only or video/audio RTSP stream, uncompressed S16LE is recommended)
  • Custom Audio Classification Models Available
  • All Custom Application Software has been written in the U.S.A.

Linux Server Demonstration

  • Linux Server Demonstration on Ubuntu 20.04 in Major Datacenter
  • Server Demonstration utilizes Two Web Browser Microphone Inputs (Uncompressed S16LE via Custom Software)
  • Intel and AMD Octal (and higher) Core 64-Bit Architectures Can Support Eight or more Concurrent Audio Classification Channels
  • For demonstration, alert recordings are 60 seconds (30 second before and 30 seconds after alert condition)

Embedded Linux Demonstration Units

  • ARM Demonstration Units on Raspberry Pi 4 Model B 64-Bit OS With Two Simultaneous Audio Inputs
  • Audio Input 1: High Sensitivity MEMS Microphone Connected to RPi4 via I2S
  • Audio Input 2: Web Browser Microphone Input (Uncompressed S16LE via Custom Software)
  • For demonstration, alert recordings are 60 seconds (30 second before and 30 seconds after alert condition)
  • Please Schedule Server Based Demonstration First
  • RPi4 Demonstration Units Have Refundable Fee and are Subject to Hardware Availability

Applications

  • Incorporate Audio Classification into Existing Products (e.g. security cameras)
  • Enhancement of Existing Video Monitoring Systems (e.g. detect activity that cameras cannot see)
  • Building Security (e.g. detect voice, footstep, or other unauthorized or dangerous activity)
  • Scientific Monitoring and Studies (e.g. detect animal, bird, machine, and human activity)
  • Environmental Monitoring and Studies (e.g. detect animal, bird, machine, and human activity)
  • Patient Monitoring (e.g. detect labored breathing with custom model)
  • Manufacturing Monitoring (e.g. detect sounds that indicate impending failures with custom model)

For More Information or to Schedule a Demonstration Please Contact:

Email: info@AudioClassify.com

Business Considerations

  • Custom application software source code and a non-exclusive software license will be provided.
  • Product specifications, terms, conditions, and availability are subject to change.
  • The user accepts responsibility and liabilty for the ethical and lawful use of audio recording and monitoring.
  • Any and all Business Agreements must be mutually agreed to in writing.
  • © 2022 Toqana Consulting, LLC, Reno, NV, U.S.A.
browser mic raw data

Comments are closed.