In-Vehicle VOIP System
Communication control had to handle mobile network fluctuation, stable boot and vehicle power conditions.
Results Summary
Stable inspection quality: AI-based judgment dramatically reduces human error
Reduced workload: Automated recording and assessment cuts labor hours
Fast PoC-to-production: Evaluation kit enables rapid validation and smooth transition
Customer Challenge
Communication control had to handle mobile network fluctuation, stable boot and vehicle power conditions.
Implementation Overview
Background
In-vehicle devices require attention to communication quality, power fluctuation, boot recovery and maintenance logs. A generic PC-app design did not fit.
Challenges
- Network quality fluctuation
- Stable operation after power loss and recovery
- Log management for remote maintenance
Implemented Solution
VOIP control, network monitoring, log collection and settings management were implemented on embedded Linux.
- Embedded Linux terminal
- VOIP communication control
- Network monitoring
- Log and settings management
Rollout
- Communication Review
Voice quality, network and boot conditions were confirmed. - Embedded Implementation
VOIP control and monitoring processes were implemented. - Vehicle Evaluation
Power fluctuation, reconnection and log capture were checked.
Operational Change
- Communication control was adapted to vehicle conditions
- Logs for failure analysis were standardized
- A maintainable embedded structure was organized
Expansion
Video calling, remote monitoring and in-vehicle AI terminals can be integrated later.
Discuss Vehicle Communication
Share communication method, power conditions and maintenance needs for a configuration proposal.
Results & Impact
Control by communication state and log management were embedded into a vehicle-oriented system structure.
Why CSUN
Integrated camera, embedded, AI, and connectivity: System-level optimization, not piecemeal
One-stop from PoC to mass production: Prototype evaluation → design → production → long-term supply
Flexible design for real-world constraints: Adapts to existing lines, lighting conditions, and space limits
Trilingual support (JP/ZH/EN): Global development, sourcing, and support capabilities
Related Solutions & Products
From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.
FAQ
Can this work in a similar production environment?
In most cases, yes. Please share sample images and requirements from your site. We'll propose the optimal configuration based on similar cases.
Can I consult just for a PoC?
Absolutely. We welcome PoC-only engagements. Our evaluation kit enables rapid validation.
Can we validate without stopping our existing line?
Yes. Add-on cameras or non-invasive sensors allow validation while your existing line keeps running.
Can you help with camera selection?
Yes. We'll recommend the optimal camera module based on your target objects, lighting conditions, and inspection criteria.
Facing a similar challenge?
From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.