A smart driver monitoring system using android application and embedded system
DOI: 10.1109/iccsce.2015.7482191
archive: archived pipeline: cataloged verified
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Summary
This paper addresses the growing need for comprehensive employee monitoring systems, specifically for mobile workers such as drivers, while addressing significant privacy concerns associated with existing surveillance technologies. The authors identify a gap in current solutions: many systems rely solely on smartphones or invasive software that monitors communications and keystrokes, which resembles spyware and negatively impacts employee satisfaction. Furthermore, existing location-tracking systems often fail to assess actual work performance and lack privacy protections. The research is motivated by the desire to create a system that allows employers to monitor driver performance and legal liability without compromising employee privacy or relying on resource-intensive, single-device processing. To address these challenges, the authors propose a new integrated driver monitoring system that combines an Android smartphone application with an embedded controller. The system leverages the built-in sensors of modern smartphones, including accelerometers, gyroscopes, magnetometers, proximity sensors, light sensors, and GPS modules. Data exchange between the smartphone, the embedded controller, and various external analogue and digital sensors is facilitated via a Bluetooth module. This architecture distributes processing tasks, preventing the high resource consumption associated with using the smartphone as the sole processing unit. The Android application is developed using Java and the Android Software Development Kit (SDK), utilizing the platform’s widespread adoption and sensor accessibility. The proposed system functions as a smart controlling and monitoring device designed to track employee driver performance comprehensively. Unlike previous systems that only track location or monitor communications, this integrated approach aims to provide managers with actionable data on work performance while guaranteeing full privacy protection for the employee. The system was tested in real modes to validate its functionality. The design ensures that managers can supervise employees from a central location, addressing concerns regarding legal liability and security, while mitigating the privacy violations inherent in systems that allow unrestricted access to call histories or personal communications. The significance of this work lies in its balanced approach to workplace surveillance. By integrating embedded systems with mobile technology, the authors offer a solution that enhances monitoring capabilities beyond simple location tracking to include performance metrics. Crucially, the system prioritizes privacy protection, aiming to improve employee satisfaction and reduce the potential for misuse compared to traditional spyware-like monitoring tools. This contribution is relevant for companies seeking to monitor field employees and drivers effectively while maintaining ethical standards and legal compliance regarding employee data and privacy.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-19 |
| archive | success | semantic_scholar | — | — | 6 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-19 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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