Overcoming Barcode Scanning Challenges: Enhancing Field Service Management
Field Service Management (FSM) relies heavily on barcode scanning technology for efficient and accurate data capture in tasks such as equipment tracking, inventory management, and service documentation.
The FSM mobile app currently utilizes Google Barcode as its scanning facility, offering advanced capabilities. It supports various barcode formats, including linear formats, 2D formats, and QR codes. The scanner is orientation agnostic, accurately recognizing and scanning barcodes regardless of their alignment, which enhances ease of use and efficiency. Additionally, it features automatic format detection, processing all supported barcode formats in a single scan without the need for prior specification.
While barcode scanning significantly enhances these processes, field technicians face several challenges that can impede their productivity and accuracy. This article outlines these challenges and provides recommended solutions to improve FSM operations.
Challenges experienced while scanning Barcodes
Default Scanning Behavior:
The current barcode scanning functionality prioritizes scanning QR codes over linear barcodes when both types are present. Linear barcodes are critical for identifying products and managing inventory in field service operations. This default behavior can disrupt operations, causing delays and challenges for technicians.
Scanning Accuracy and Speed:
Technicians often encounter issues with the accuracy and speed of barcode scanning, particularly in low-light conditions or when dealing with damaged barcodes. The scanner may produce inaccurate results, such as appending random numbers or only capturing partial data, leading to inefficiencies.
Performance in Diverse Environments:
The scanning performance can vary based on environmental conditions, such as light levels, backgrounds, or the physical condition of barcodes. Technicians working in diverse field conditions may experience inconsistent scanner performance, affecting their ability to complete tasks efficiently.
Recommended Solutions
Adjust Scanning Algorithm:
Update the scanning algorithm to prioritize linear barcodes when multiple types are detected. This ensures that the scanner focuses on the barcodes essential for field service operations, enhancing accuracy and efficiency.
Enhance Scanning Accuracy and Speed:
Improve the scanning algorithm and provide better lighting conditions or adjustable scanner settings. These enhancements can significantly improve the accuracy and speed of barcode scanning, even in challenging conditions.
Integrate Alternative Barcode Scanners:
Equip the FSM mobile application to integrate with other barcode scanners. We recommend the DynamSoft Barcode scanner. This can be facilitated through standardized APIs and interfaces, allowing for smooth incorporation of alternative scanning solutions. Integration with diverse barcode scanners ensures flexibility and better performance, catering to the varied needs of field technicians.
Conclusion
The FSM mobile application leverages barcode scanning technology to streamline field operations, but it faces challenges such as default scanning behavior, accuracy, speed issues, and performance inconsistency. By adjusting the scanning algorithm, enhancing scanning accuracy and speed, and integrating alternative barcode scanners, these challenges can be overcome. These improvements will lead to more efficient and effective field operations, ultimately enhancing overall performance and customer satisfaction in Field Service Management.
References
1. Google Developers. (n.d.). Barcode scanning with ML Kit on Android. Retrieved from https://developers.google.com/ml-kit/vision/barcode-scanning
2. DynamSoft Barcode Scanner: https://www.dynamsoft.com/barcode-reader/overview/