Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries
Abstract
1. Introduction
2. Literature Review
2.1. Traditional Quality Management Systems in Construction
2.2. Evolution of Technological Integration in Construction Management
2.3. Camera-Based Safety and Quality Management Systems for Developing Countries
3. Developed Framework
- Small-to-Medium-Sized Enterprises: Small-to-medium-sized enterprises in the construction sector often operate under budget constraints and may find the affordable nature of this framework advantageous.
- Specific Use Cases: Projects requiring rapid deployment, temporary setups, or supplemental quality control mechanisms could benefit from this system’s simplicity and real-time monitoring capabilities.
- Remote Sites: Construction in remote or challenging terrains may find value in the framework’s lightweight and portable nature.
3.1. Camera-Based System
3.2. Centralized Construction Management Platform
3.3. Practical Implementation: Step-by-Step Procedure
- Initial Assessment and Planning:
- Conduct a detailed assessment of the construction site to identify safety and quality risks.
- Map out key areas where monitoring is required and establish priorities.
- Develop an implementation plan that includes hardware setup, software configuration, and training schedules.
- Hardware Deployment:
- Install wearable devices, such as helmet-mounted cameras, for on-site personnel.
- Set up connectivity infrastructure, including WiFi hotspots or mobile data solutions, to ensure stable real-time communication.
- Ensure backup power supplies are in place to address potential power disruptions.
- Software Configuration:
- Customize the centralized project management platform to reflect the project’s unique requirements, including specific BIM parameters, task lists, and performance indicators.
- Integrate real-time video streaming features and set up data storage for archiving video feeds and communications.
- Configure user access permissions to protect sensitive data while enabling collaboration.
- Team Training:
- Train on-site personnel to use wearable devices and adhere to safety protocols.
- Provide virtual training sessions for off-site experts on the platform’s functionalities, including real-time monitoring and feedback capabilities.
- Conduct trial runs to familiarize teams with the system and identify potential issues.
- Live Deployment:
- Launch the system during actual construction activities, starting with a pilot phase to refine processes.
- Monitor live feeds to ensure safety compliance and address quality concerns in real time.
- Use the platform’s interactive dashboard to track progress and identify emerging risks.
- Performance Monitoring and Feedback:
- Regularly review performance metrics captured by the platform, such as incident rates, task completion times, and quality scores.
- Conduct weekly meetings to discuss findings and implement improvements.
- Archive data and feedback for future analysis and continuous improvement.
- Post-Project Evaluation:
- Evaluate the overall impact of the system on project outcomes, including safety, quality, and financial performance.
- Document lessons learned and create the best practice guide for future projects.
3.4. Implementation Difficulties and Potential Resolutions
3.5. Contribution to Sustainability and Alignment with UN Sustainable Development Goals
4. Case Study
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Study | System Features | Context/Application | Limitations of the Study | Advantageous of Proposed System |
---|---|---|---|---|
Akinci et al. [70] | Utilizes laser scanners and photogrammetry for quality control in construction. | Applied in construction projects for detecting dimensional discrepancies. | High costs of laser scanners and photogrammetry limit accessibility, especially in developing regions or small-scale projects. | The proposed system offers a more cost-effective solution by using affordable cameras and open source software, reducing initial and operational expenses. |
Kim et al. [71] | Implements automated progress tracking using 4D BIM and image processing techniques. | Used in monitoring construction progress and comparing it with planned schedules. | Requires integration with 4D BIM, which has a steep learning curve and high software costs, limiting widespread adoption. | The proposed system provides real-time monitoring capabilities with lower hardware costs, making it accessible for small-to-medium-sized projects. |
Golparvar-Fard et al. [72] | Integrates photogrammetry and BIM for automated construction progress monitoring and quality control. | Focuses on enhancing accuracy in progress tracking and defect detection in construction projects. | Relies heavily on photogrammetry, which is computationally intensive and unsuitable for real-time analysis in resource-constrained settings. | The proposed system combines real-time defect detection and safety monitoring. |
Chi et al. [73] | Uses computer vision techniques for automated detection of construction defects from site images. | Focuses on improving the efficiency of quality inspections in construction projects. | The system is limited by its dependence on high-quality data and may fail to perform adequately in low-light or noisy environments. | The proposed system integrates customizable privacy features, ensuring compliance with data protection regulations across various regions. |
Fang et al. [74] | Uses convolutional neural networks for detecting workers and heavy equipment on construction sites. | Focused on ensuring safety by monitoring worker–equipment interaction zones to prevent accidents. | Requires substantial computational resources for neural network operations, limiting deployment in resource-constrained environments. | Proposed system offers similar safety monitoring capabilities at a fraction of the cost, making it accessible to smaller-scale projects. |
Fang et al. [75] | Implements a real-time construction safety monitoring system using computer vision and deep learning algorithms. | Applied in construction sites to detect and prevent safety hazards in real time. | Requires significant computational resources for deep learning algorithms, making it expensive for smaller projects or developing regions. | The proposed system’s real-time monitoring capabilities enhance both safety and quality management, streamlining processes and reducing costs. |
Feature | Wearable Tech Interface | Centralized Project Management Platform |
---|---|---|
Display | 2-inch LCD screen | On-Screen Display (OSD) |
Resolution | Up to 1512 p | N/A |
Frame Rate | Up to 30 fps | N/A |
Recording Modes | On-demand or continuous | Supports playback |
Compression | H.264/H.265 | N/A |
Audio | Supports audio recording | Supports two-way intercom |
Light source | Flashlight, Laser, IR (up to 10 m) | N/A |
Storage | Embedded (32~128 GB) | N/A |
Network | TCP/IP, 3G/4G, WiFi, Bluetooth BT4.1 | TCP/IP, 3G/4G, WiFi, Bluetooth BT 4.1 |
GPS | Embedded | N/A |
Additional Features | Push-to-talk radio, snapshot during recording, record time display, device ID and location, overwrite, play speed, pre-post recording, recording encryption | Radio communication, pre-post recording, recording encryption |
Environment | Temperature: −40–−60°, Humidity: 40~80% | Temperature: −20–+55°, Humidity: 5% RH–95% RH non-condensing |
Battery Capacity | 4000 mAh non-replaceable battery, up to 12 h recording time | 2500 mAh X2 (interchangeable) +280 mAh, up to 8 h recording time |
Dimensions | 83.254.829.8 mm | 230.0200.5036.40 mm |
Weight | Approx. 145 g | 300 ± 5 g |
IP Rating | IP68 | IP66 |
Other Features | Dual bit stream, indicator lights | Dual bit stream, indicator lights, SOS and Man Down functionality, GeoFence, five configurable buttons |
Component | Description |
---|---|
Login | Secure login with account number, password, local address selection, and language options. |
Settings | Configuration of server address, data and signaling ports, video call parameters, and transport protocols. |
Contacts | Organized display of contact lists and group configurations. |
Groups | Management of various groups such as conference, intercom, and broadcast groups. |
Report | Display and management of photos, videos, and audio recordings uploaded by users. |
Map | Real-time online maps showing member locations and enabling various monitoring functions. |
Video Monitor | Interface for real-time video surveillance of construction sites. |
Call Monitor | Real-time audio surveillance and management of voice communications. |
Member List | Real-time display of member lists in a user-friendly format. |
Record List | Management of local photos and videos. |
Web Page | Integration with third-party systems and access to additional online resources. |
Backstage Management | Tools for task management and administrative functions. |
Message | Interface for sending and receiving multimedia messages between users and dispatchers. |
Dial | Dial pad for initiating and managing calls. |
Voice Dispatching | Functions for point-to-point calls, group conferencing, monitoring, and emergency call handling. |
Electronic Fence | Creation and management of electronic fences with alerts for boundary crossings. |
GPS Tracking | Real-time tracking of member locations and movement. |
Track Playback | Playback of member movement history over specified timeframes. |
System Settings | Comprehensive settings for automatic call handling, offline maps, video recording, and log management. |
Temporary Groups | Quick creation of temporary audio, video, and teleconference groups for dynamic communication needs. |
Challenge | Description | Suggested Solution |
---|---|---|
Data Security and Privacy | Vulnerability to unauthorized access or cyberattacks. | Advanced encryption, secure VPNs, multi-factor authentication. |
System Downtime | Risk of prolonged downtime due to DDoS attacks. | Robust IDPS, redundant server infrastructure. |
Unauthorized Device Access | Potential access by unauthorized users through stolen devices. | Biometric authentication, remote wipe capability. |
Network Connectivity Vulnerabilities | Exposure to man-in-the-middle attacks due to weak connections. | Secure protocols (HTTPS, TLS), network traffic monitoring. |
Compliance with Local Regulations | Need to meet varying data storage and privacy laws. | Collaboration with legal experts, system customization. |
Feature | Relevant SDGs | Contribution |
---|---|---|
Real-Time Monitoring | SDG 9, SDG 11 | Enhances construction efficiency and quality, supports resilient infrastructure development. |
Waste Reduction | SDG 12 | Minimizes material wastage, promotes responsible resource consumption. |
Safety Protocols | SDG 8 | Improves workplace safety, ensures decent working conditions. |
Global Collaboration | SDG 17 | Facilitates international knowledge sharing and best practice adoption. |
Quality Management Integration | SDG 11 | Supports sustainable urban development by improving construction standards. |
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Abdullah, Z.O.; Çelik, T.; Çelik, T. Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries. Buildings 2025, 15, 156. https://doi.org/10.3390/buildings15020156
Abdullah ZO, Çelik T, Çelik T. Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries. Buildings. 2025; 15(2):156. https://doi.org/10.3390/buildings15020156
Chicago/Turabian StyleAbdullah, Zanyar Omar, Tahir Çelik, and Tolga Çelik. 2025. "Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries" Buildings 15, no. 2: 156. https://doi.org/10.3390/buildings15020156
APA StyleAbdullah, Z. O., Çelik, T., & Çelik, T. (2025). Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries. Buildings, 15(2), 156. https://doi.org/10.3390/buildings15020156