AudioClassify.com
Audio Classification Custom Software Source Licenses
Server and Embedded Linux Applications
Feature Screenshots
Display of Recognized Audio Class Probabilities From Two Microphones
Tool to Enable or Disable Alert Methods and Set Parameters
Tool Create and Edit Alert Groups and to Assign up to Four Schedules For Each Alert Group
Tool to Assign up to 521 Classes and Probability Thresholds for Each Alert Group
Tool to Create or Edit Calendar or Day of Week Schedules
Display of Recent Alert Conditions Found and List of Audio Files Available for Download
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.