Sound AI That Listens and Thinks
Like a Human
That Understands the Sound Best
The Technology Behind Listen AI
The Listen AI solution offers a comprehensive suite, including sound collection microphones, advanced sound analysis modules, servers, user-friendly dashboards, and real-time alert systems.
Introducing the Listen AI Solution
We present the Listen AI solution service utilizing sound analysis AI technology.
- Listen AI Industrial
Machine Quality Inspection
A solution that detects machine sounds such as motor noise or connector fastening clicks at the final production stage, ensuring precise quality inspection.
Types of SoundsMotor noise, connector fastening (locking), engine vibration, etc.Application AreasComponent manufacturing plants, NVH testing, power plantsExample Installation SpacesEOL inspection lines, in-process quality control (IPQC)AccuracyF1-score 97% or higherConfiguration MethodsPLC · MES integration, on-premise server setup - Listen AI Safety
Emergency · Risk Detection
A monitoring solution designed to detect emergencies such as accidents, disturbances, and crimes through sound, enhancing safety management.
Types of SoundsScreams, loud voices, disturbances, crying, collisions, glass breaking, etc.Application AreasUrban crime prevention/control, public/private physical security, healthExample Installation SpacesChildren's zones, hospitals, parking lots, restroomsAccuracyF1-score 97%Configuration MethodsEdge / On-Prem / Cloud - Custom Solution
Custom Sound Detection
A fully tailored solution that enables customers to detect and analyze specific sounds of their choice.
Types of SoundsNo RestrictionsApplication AreasNo RestrictionsExample Installation SpacesNo RestrictionsAccuracySound Verification RequiredConfiguration MethodsEdge / On-Prem / Cloud
Solution Operation Method
Edge Analysis Server Method
Effective local data processing saves network bandwidth and reduces latency, providing a higher quality user experience.
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.
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.