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ID: 1203697
zł70.81
Tax included

zł57.57 tax excl.

An AI module for local sound event recognition, operating without a cloud connection. It detects sounds such as baby crying, glass breaking, gunshots, smoke and CO alarms, and snoring, with an accuracy of ≥95% and a response time of up to 500 ms. The module is powered by an XMOS processor and a high-performance digital microphone, providing precise sound analysis while maintaining privacy. Compatible with Seeed Studio XIAO, ESPHome, and Home Assistant, it is ideal for home automation, security, and monitoring systems. SeeedStudio 100049596

4 weeks
Awaiting delivery
Kamami is the official distributor of Seeed Studio modules and development kits. All products of this brand in our offer are original and come directly from the manufacturer.

Description

Sound Event Detection Module D1 is a compact module for local sound event recognition, designed for intelligent automation and security systems. The device uses AI algorithms (edge computing), enabling sound analysis without sending data to the cloud. This ensures a high level of privacy and very low response latency of up to 500 ms. The module can accurately detect five specific sound events, such as a baby crying, glass breaking, a gunshot, smoke and CO alarms (T3/T4), and snoring. With a detection accuracy of ≥95%, it is well suited for reliability-critical applications.

When connected to controllers from the Seeed Studio XIAO series, the module can be easily integrated with ESPHome and Home Assistant systems. This enables the creation of automated scenarios such as sending notifications, triggering alarms, or controlling lighting. The module is ideal for home security monitoring, detecting fire hazards or break-ins. It can also be used in childcare, allowing immediate response to crying. In the field of elderly care, it helps identify disturbing sounds or snoring patterns. It also finds applications in industrial environments, where alarm signals or dangerous sounds are monitored. Thanks to its flexible configuration, users can easily adjust the operating mode and detection sensitivity to their needs.

Features

  • Processor: XMOS XU316-1024-QF60BC24
  • Supported sound events: baby crying, glass breaking, gunshot, smoke and CO alarm (T3/T4), snoring
  • Processing: local AI (edge computing), no cloud required
  • Detection accuracy: ≥95%
  • Response latency: ≤500 ms
  • High-quality digital microphone
  • Sensitivity: -26 dBFS
  • Acoustic overload point: 120 dBL
  • Signal-to-noise ratio (SNR): 64 dBA
  • Interfaces: UART, USB
  • Power supply: USB 5 V or external 5 V
  • Compatibility: Seeed Studio XIAO, Arduino, ESPHome, Home Assistant
  • Operating temperature: 0°C – 65°C
  • Dimensions: 40 × 20 mm
1203697

Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20

Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20

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