SoundBox QT-2100 Pro
AI Model Trainable Sound Box
The SoundBox QT-2100 Pro is a professional audio solution from ZOTECH, ideal for advanced research and industrial applications. It features a MagicBrain AI accelerator, dual MEMS + analog microphones, and supports TensorFlow Lite model training and deployment. Additional functions include FFT spectrum analysis, event-triggered recording, and multi-communication integration.
It's perfectly suited for smart transportation, ecological soundscape research, and industrial sound monitoring, enabling real-time sound classification and edge data analysis. Its comprehensive SDK allows developers to quickly build and deploy custom sound recognition models.
Distinguishing itself from traditional equipment, the QT-2100 Pro's key strengths are its AI model trainability and powerful edge computing. This allows real-time, on-device sound classification, reducing latency and boosting data privacy without cloud dependence. The integrated FFT spectrum analysis further offers deep acoustic feature analysis across time and frequency domains.
Modular System Architecture: Leading Efficient and Flexible Acoustic Monitoring
The QT-2100 Pro features ZOTECH's MagicBrain AI module, integrating an ARM Cortex-M55 CPU and Ethos-U55 NPU for TensorFlow Lite and FFT analysis. This architecture delivers high-performance, low-power AI inference, ideal for long-term edge device applications.
Audio Sensing Unit
Integrated MEMS and analog dual microphones with low-noise design ensure high-precision audio acquisition across a wide frequency range, effectively capturing subtle or sudden sounds.
Power Management
Features wide voltage input support (DC 8V-36V) to ensure stable device operation. Also supports efficient charging and solar power integration to extend battery life.
Diverse Communication Modules
Built-in Wi-Fi / BLE, with optional communication interfaces such as 4G LTE, LoRa, NB-IoT, or RS485, ensuring stable, efficient, and secure remote data transmission according to different field requirements.
Main Control MCU
Adopts a low-power processor, supporting scheduled wake-up and multi-task scheduling, effectively reducing power consumption and memory requirements, extending device deployment time, and real-time execution of audio pre-processing and data compression to optimize transmission efficiency.
AI Acceleration Module
Powered by MagicBrain AI (Cortex-M55 & Ethos-U55 NPU), it supports TensorFlow Lite for efficient edge computing. This delivers real-time acoustic analysis directly at the data acquisition site, lowering latency, saving cloud costs and bandwidth, and enhancing data privacy.
Features and Technical Advantages
Self-trained Model Upload
Supports OTA updates, allowing users to self-train TensorFlow Lite models and deploy them remotely to devices, updating AI algorithms without on-site operations.
FFT Spectrum Analysis
Built-in Fast Fourier Transform computation engine provides time-domain and frequency-domain data output, supporting advanced acoustic feature analysis and research.
Dual-Microphone Positioning
Utilizes dual-microphone input for spatial sound source localization and noise reduction, enhancing sound recognition accuracy in complex environments.
Smart Triggered Recording
Supports dual trigger mechanisms: sound pressure threshold and AI classification results, automatically recording key events and uploading them to cloud or local storage.
SDK/API
Supports C/C++/Python development, featuring JSON/MQTT/Modbus standard interfaces for quick integration into existing system architectures.
Platform Integration Capability
Can integrate with GIS/IoT platforms for data visualization, real-time alerts, and report analysis, providing a complete monitoring solution.
Diverse Communication Options, Seamless System Integration
SoundBox offers diverse communication solutions for flexible system integration, adapting seamlessly to any network environment, from high-density urban areas to remote monitoring points, always ensuring optimal connectivity.
WiFi / BLE
Short-range, high-frequency communication options, suitable for applications requiring large data volumes and frequent data feedback, such as internal building monitoring points or urban hot spots.
RS485
A common communication protocol in industrial automation, providing stable and reliable wired connections, especially suitable for integration in factories or large facilities.
LoRa
Long-range wireless communication technology, low power consumption and wide coverage, an ideal choice for remote areas or applications requiring long-distance transmission.
4G/NB-IoT
Extended support for narrowband IoT technology, utilizing existing telecommunications network infrastructure to provide wide coverage and stable connections.
SoundBox's flexible communication ensures seamless integration with existing infrastructures (smart poles, building systems, security platforms). Integrators can optimize communication modes by balancing data rates, power, and cost to meet project requirements.
Developer Support and Tool Ecosystem
The QT-2100 Pro provides a complete development environment and SDK, assisting developers in rapidly training, testing, and deploying models. From data collection and model training to actual deployment, ZOTECH offers a comprehensive toolchain, significantly shortening the product development cycle.
Developers can use the familiar TensorFlow framework for model training and optimize models into TensorFlow Lite format using ZOTECH's conversion tools. Model management tools support version control and A/B testing, allowing developers to safely perform model updates and performance evaluations.
SDK Development Kit
Comprehensive TensorFlow Lite model import support, providing sample code and documentation to accelerate the development process.
API Library
Multi-language SDK for C/C++/Python, standard JSON/MQTT/Modbus communication interfaces for easy integration.
Model Management Tool
Model upload, version management, and OTA update features, supporting remote model deployment and rollback mechanisms.
Data Annotation Tool
Sound sample recording and label creation tool, assisting in building high-quality training datasets.
Simulated Deployment Environment
Desktop simulator to verify sound classification operation, reducing on-site testing costs and risks.
Industrial-Grade Design, Facing Various Environmental Challenges
SoundBox's industrial-grade design is evident in every detail, from material selection to structural design, all rigorously tested and validated. Its durable casing not only provides excellent physical protection but also considers critical factors like heat dissipation and moisture resistance, ensuring stable operation of internal electronic components in extreme environments.
IP67 Water and Dust Resistance
Optional IP67 protection rating design ensures the device operates normally in harsh outdoor environments, resisting rain and dust intrusion.
Solar Power Supply
Optional solar modules enable self-sufficient energy supply, suitable for deployment in remote areas with inadequate power infrastructure.
Low-Power Design
Supports various low-power operating modes, extending battery life through intelligent wake-up mechanisms, reducing maintenance frequency and costs.
Strong Temperature Adaptability
Special design allows the device to operate stably in extremely high or low-temperature environments, adapting to Taiwan's variable climate conditions.
These features make SoundBox particularly suitable for deployment in various challenging environments, such as outdoor construction sites, remote mountainous areas, coastal regions, or unmanned monitoring points. Whether exposed to prolonged sunlight or facing wind and rain, the SoundBox QT2100 series can continuously provide stable sound monitoring services.
One-Stop AI Perception System Integration Service
SoundBox provides a complete one-stop AI perception system integration service, from hardware equipment to software platforms, and then to system integration, forming a closed-loop solution. The modular hardware design allows customers to flexibly configure according to specific needs, while standardized SDKs and APIs greatly simplify the development process.
Modular Hardware
Complete solution for Sensor + AI + Communication Interface
SDK / API
Standard JSON format data transmission interface
Rapid PoC
Quick verification with development board and pre-trained models
Cross-Platform Integration
Seamless integration with SCADA, IoT middleware, and cloud platforms
GIS Visualization
Full support for Geographic Information Systems
For customers who need to quickly validate concepts, SoundBox provides development boards and pre-trained model kits, allowing teams to start testing in the shortest possible time. In terms of system integration, SoundBox supports seamless integration with various SCADA, IoT middleware, or cloud platforms, and has specially optimized its connectivity with GIS systems to achieve precise geographic information visualization.
"Finding Urban Quiet" Project — Hackathon Grand Prize
The "Finding Urban Quiet" project is a successful application case for SoundBox. Led by a Academia Sinica team, and combining SoundBox technology, a comprehensive "Smart Urban Noise Map" platform was created. This platform collects noise data from various urban areas through a sound sensor network and performs analysis and visualization.
This innovative project stood out in the 2024 Presidential Hackathon competition, winning the grand prize. It fully demonstrated SoundBox's immense application potential and social value in policy analysis and urban environmental improvement. The project's achievements not only provide urban planners with important decision-making bases but also offer citizens an intuitive reference tool to understand the sound quality of their living environment.
Hackathon Honor
Top 5 in the 2024 Presidential Hackathon, demonstrating SoundBox's value in policy analysis and urban environmental improvement.
Urban Noise Problem
Urbanization leads to increasingly severe noise pollution, affecting residents' quality of life and health, requiring innovative solutions.
SoundBox Solution
Deploying a sound sensor network to collect noise data from various urban areas and build a comprehensive sound database.
Smart Noise Map Platform
Visually presenting sound data analysis results to help identify urban areas requiring noise mitigation measures.
Application Scenarios and Case Studies
The highly flexible design of QT-2100 Pro allows it to be applied in various fields, from urban traffic monitoring to wild ecological research, from industrial predictive maintenance to public safety surveillance. It can leverage its advantages in edge AI computing and real-time classification across these areas. Below is a detailed explanation of its main application domains.
Smart Traffic / Construction Site Monitoring
Automatically identifies traffic noise and illegal honking at critical road sections. For construction sites, it recognizes sounds and monitors decibels, issuing alerts and recording evidence for compliance. Integration with GIS creates noise hotspot maps, supporting urban planning and noise reduction. Real-time reporting to environmental agencies aids traffic management, site oversight, and dispute resolution.
Industrial Anomaly Sound Monitoring
Real-time monitors machinery sounds on production lines, sending AI-driven alerts for predictive maintenance. It detects faults earlier than vibration sensors, significantly reducing downtime and maintenance costs. Seamlessly integrates with existing SCADA/MES systems for comprehensive equipment health monitoring.
Ecological Soundscape Research
Monitors wild ecological stations, recording and analyzing long-term bio-acoustic data (bird, frog, insect sounds). AI classifies species and analyzes activity patterns. Its low-power design with battery support enables weeks-to-months of continuous remote monitoring, significantly boosting data collection efficiency.
Complete Accessories and Expansion Solutions
The QT-2100 series boasts excellent environmental adaptability, and through a series of diverse dedicated accessories, it can fully meet the stringent requirements of various deployment scenarios.
Protective Installation
IP67 industrial waterproof casing and various mounting brackets (wall/lamp post/ceiling)
Power Module
Supports lithium batteries and lead-acid batteries, providing stable and reliable power to ensure long-term independent operation of the device in off-grid environments without mains power supply.
Solar Power Supply
The solar charging kit ensures that the device can operate autonomously and sustainably for long periods in any location without power, maximizing monitoring efficiency and data continuity.
Communication Expansion
Supports RS-485 wired expansion for easy connection of multiple sensors or devices. Additionally, with LoRa or NB-IoT wireless communication converters, wide-area deployment can also be achieved.
Environmental Sensing
Supports additional sensors such as PM2.5, gas, temperature, and humidity, expanding the monitoring range and providing more comprehensive environmental data collection capabilities.
Reasons to Choose QT-2100 Pro
The QT-2100 Pro combines AI model training, FFT spectrum analysis, and multi-communication integration capabilities, providing an open, scalable, and high-precision sound recognition platform. Its modular design and SDK support enable research institutions, system integrators, and enterprises to quickly validate and deploy applications, making it an ideal solution for smart acoustic monitoring and edge AI development.
Research Institutions
Comprehensive development tools and SDK support to accelerate research output and technology validation
System Integrators
Open architecture and standard communication interfaces, easy to integrate into large-scale monitoring system projects
Enterprise Users
Stable and reliable hardware design with comprehensive technical support to reduce operational costs
Website：https://www.zot.com.tw/
Email：[email protected]
Address：2F, No. 5, Alley 22, Lane 513, Ruiguang Road, Neihu District, Taipei City
Email：[email protected]
Address：2F, No. 5, Alley 22, Lane 513, Ruiguang Road, Neihu District, Taipei City