Sumake Transducerized Electric Screwdriver and Feeding System – A Total Smart Assembly Solution

Sumake transducerized electric screwdriver combined with an intelligent screw feeding system provides a complete and reliable fastening solution for modern manufacturing environments. Designed to support smart assembly and high-efficiency production lines, this integrated system helps manufacturers improve productivity, ensure fastening quality, and achieve full process traceability.

The SMART Tools features advanced torque and angle sensing technology, allowing real-time measurement and control during each fastening cycle. Compared with traditional clutch tools, it delivers higher accuracy, superior repeatability, and stable fastening results. This makes it especially suitable for applications with strict quality requirements, such as automotive components, electronics, home appliances, and precision industrial products.

When integrated with Sumake’s automatic screw feeding system, the solution creates a smooth and efficient fastening workflow. Screws are automatically sorted, oriented, and supplied to the screwdriver, eliminating manual screw handling. This reduces operator fatigue, minimizes assembly errors, and shortens cycle time, resulting in higher throughput and consistent production performance.

Quality assurance is further enhanced through continuous monitoring of each fastening operation. Torque, angle, fastening curves, and OK/NG results are recorded in real time. Any abnormal condition, such as missing screws or insufficient torque, can be immediately detected to prevent defective products from progressing to the next process.

In addition, fastening data can be stored and transferred to factory management or MES systems, enabling traceability, quality audits, and process optimization. With its modular design, flexible configuration, and robust durability, the Sumake transducerized electric screwdriver and feeding system supports smart manufacturing and delivers long-term value for customers seeking efficiency, quality, and data-driven production.