Superisys RFID Driving Precision in Automotive Bluetooth Module Manufacturing.

The manufacturing process of automotive Bluetooth modules is highly complex and involves multiple critical steps, including wire bonding, functional testing, RF performance validation, and calibration. Traditional production management methods often face the following challenges:

• Fragmented process data and heavy reliance on manual recording

• Limited traceability across production stages

• Delayed detection and isolation of defective products

• Incompatibility between existing equipment and digital management systems

These issues increase quality risks, reduce production efficiency, and make it difficult to meet the strict traceability requirements of the automotive industry.

Superisys RFID Solution: Closed-Loop Quality Management

1. Automated Process Identification and Quality Verification

Superisys deploys industrial-grade RFID readers at key equipment such as wire bonding machines and test stations, while high-precision RFID data carriers are embedded into tray pallets used for module transportation.

This enables:

• Automatic Data Collection
  As each Bluetooth module moves through every production step, the system automatically records key parameters such as bonding data, RF test results, and calibration information

• Real-Time Defect Interception
  If a test result fails to meet specifications, the system instantly flags the product and prevents it from entering the next process

• Full Lifecycle Traceability
  Each module’s complete manufacturing history, quality status, and test records are securely bound to its RFID data carrier, enabling end-to-end traceability.

2. Flexible Industrial Communication and Seamless Integration

Superisys RFID systems support multiple industrial communication interfaces, including:

• Serial communication (RS232 / RS485)

• Ethernet (TCP/IP)

• Seamless integration with PLCs, MES, and test systems

This flexibility ensures fast deployment, smooth system integration, and maximum protection of existing production investments, without disrupting current workflows.