DEEPLY's Unique Sound AI Technology
That Understands the Sound Best
That Understands the Sound Best
98% Accuracy Certification
We have demonstrated world-class technological excellence, backed by publications in top-tier journals and TTA certification for sound event detection, achieving a 98% accuracy (F1-score).
Real Sound-Based Precision Analysis
Our advanced analysis capabilities are powered by a dataset comprising 42 distinct sound types and unique audio data collected from real-world environments.
Accurate Sound Detection in Diverse Environments
Our technology captures target sounds with precision, even in noisy environments, and seamlessly integrates with various devices through API and SDK support.
Edge Analysis Server Method
Effective local data processing saves network bandwidth and reduces latency, providing a higher quality user experience.
Product Type
Screams, loud voices, disturbances, crying, collisions, glass breaking, etc.
Product Components
Microphone, Edge Analysis Server, Central Management Server, Monitoring System (CMS)
Monitoring Software
Provides Listen AI Monitoring System
Requirements
Ready to use immediately without the need for a dedicated development team or integration work
Features and Benefits
- AI computation processing within edge devicesBy integrating sound AI analysis technology into edge devices, all sound AI computations can be processed internally, allowing for effective local data processing. We recommend AI analysis functions that impose a light load suitable for the computational performance of edge devices.
- 70% Bandwidth Savings Compared to Traditional MethodsEach edge device consumes approximately 280 kbps of bandwidth when sending audio clips to the server. As the number of devices increases, bandwidth requirements also rise; however, the edge device system significantly reduces bandwidth requirements to around 1 kbps.
- Privacy ProtectionRaw audio data remains on the local edge analysis server, and only the analysis results are sent to the central management server. This approach guarantees maximum privacy.
On-Premise Method
AI analysis is processed on the central analysis server, ensuring that data is not exposed externally, with advantages of low network costs and latency.
Product Type
Friction sounds, engine noises, abnormal noises, etc.
Product Components
Microphone, Central Analysis Server, Monitoring System (CMS)
Monitoring Software
Provides Listen AI Monitoring System
Requirements
Ready to use immediately without the need for a dedicated development team or integration work
Features and Benefits
- Powerful AI Analysis CapabilitiesWith significantly more powerful computational capabilities compared to edge analysis servers, we can apply more diverse and accurate AI analysis functions using large-scale AI models. The on-premise method is particularly suitable for building large-scale systems.
- Data Leakage PreventionUnlike other solutions, the on-premise method ensures that sound data is transmitted solely within the internal network and does not traverse the internet. Data collected through microphones is sent directly to the internal central server, guaranteeing it remains secure and protected from external exposure.
- Cost-Effective Network OperationsBy leveraging efficient data transmission with minimal network latency, this solution eliminates costs associated with transmitting sound data over the internet. This results in economical and optimized network operation.
On-Device Method
Listen AI’s deep learning solution can be integrated directly into customer devices equipped with built-in microphones, such as security cameras.
Product Type
Embedded C++ SDK
Product Components
Software SDK (Android / Embedded C++ / Python)
Monitoring Software
Requires Client-Side Implementation
Requirements
Detailed information file available for download