Audio Classification for ARM64 Embedded or X86_64 Linux Server (palo alto)

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.

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)

Please see: https://AudioClassify.com