Parking Management Challenges
Siliconware Precision Industries Ltd. (SPIL), Taiwan’s second-largest IC packaging company, operates multiple manufacturing plants across Taichung, Changhua, and Erlin. With tens of thousands of employees and frequent inter-factory traffic, traditional parking systems can no longer meet the modern demand for efficiency and intelligent management.
- Reliance on parking permits makes it difficult to verify the correctness of parked vehicles.
- During rush hours, barriers must remain open to ease congestion, making access control less precise.
- Lack of real-time monitoring of available parking spaces.
- No mechanism to detect vehicles occupying spaces for extended periods.
- Cross-plant employee access management cannot be automatically synchronized.
- Visitor and logistics vehicle data are not transparent, complicating identity verification and record accuracy.
✓ AI-powered Smart Parking Solution: Enhancing Efficiency and Experience
To address the aforementioned issues, SPIL (Siliconware Precision Industries) has implemented a cross-site centralized intelligent parking management solution. By leveraging centralized control and AI-powered smart parking technologies, the company aims to comprehensively optimize the operation and management of its parking facilities.
- Automatic Number Plate Recognition (ANPR)
- The AI-based license plate recognition system operates 24/7 with high accuracy even in low-light or harsh weather. It automatically matches authorized vehicle lists and records every entry and exit, improving both access security and throughput efficiency.
- It can instantly verify the authorized personnel list and automatically generate entry and exit records, enhancing both the security and efficiency of access points.
- Central Cloud Database Management
- A centralized, cloud-based smart parking platform integrates all vehicle data across multiple sites.
- It supports role-based access control, multi-level authorization.
- automatic synchronization of employee, visitor, and logistics records — achieving unified management.
- Long-term Parking Detection & AI Analytics
- The AI engine continuously monitors parking space usage, identifies vehicles parked for excessive durations, and issues alerts.
- Data-driven analytics help optimize space allocation and increase parking turnover rates.
- Automated Scheduling and Smart Access Control
- Customizable time schedules allow the system to automatically adjust gate operations during peak hours, accelerating traffic flow.
- Unauthorized vehicle detection triggers instant alerts to security teams, reinforcing access safety.
- Reduced Labor Cost, Increased Efficiency
Tasks previously handled manually are now fully automated by the AI Smart Parking Management System, reducing manpower requirements and improving overall management efficiency. - Improved Visitor & Logistics Experience
Pre-registered visitor and logistics license plates are automatically recognized for seamless entry, minimizing waiting time and enhancing corporate professionalism. - Scalability & Cross-Plant Integration
- With a modular and scalable design, the solution can be flexibly expanded across multiple facilities.
- Enabling unified vehicle management for tens of thousands of employees and visitors.
⚑ Conclusion: Setting a New Benchmark for Cross-Plant Smart Parking
SPIL’s centralized smart parking management solution successfully achieved cloud-based automation, improving operational efficiency, security, and overall user experience — becoming a benchmark for smart transformation in large-scale manufacturing enterprises.
Key Benefits Delivered:
- Improved operational efficiency
- Reduced manpower cost
- Enhanced vehicle access security
- Better parking experience for employees and visitors
This is not only an upgrade to parking operations but also a crucial step toward Smart Factory Management and Digital Transformation.