Combining AI Camera Systems with Tag-Based Proximity Warning: The Future of Site Safety
13th June 2025
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8 minutes
Author
David Perez - CEO at SensorZone and GKD
About the Author
David Perez has been CEO of GKD and SensorZone since January 2021. He has over 25 years' experience of working for multinationals in Technology, Safety and Service-related sectors. Connect with David on LinkedIn.
The Growing Role of AI Cameras in Construction and Industrial Safety
AI-powered camera systems with human form detection are increasingly being adopted on construction, waste and recycling, and materials handling sites. According to Mordor Intelligence, the AI in Construction market is expected to grow from $3.99 billion in 2024 to $11.85 billion by 2029.
When properly installed and calibrated, AI cameras provide real-time, 360-degree visual awareness for machine operators and offer powerful site intelligence through cloud-based storage of video footage.
However, despite their promise, AI camera systems have limitations - particularly in complex, high-risk environments. These limitations can be effectively mitigated by integrating TAG-based Proximity Warning Systems (PWS).
Key Limitations of AI Camera Systems
While AI technology is advancing, it is not infallible. Some challenges include:
Blind spots: Cameras can miss objects or people obscured by equipment, terrain, or when working below ground.
Environmental interference: Accuracy drops in poor visibility due to weather, dust, smoke, or low light. For example, detection accuracy can fall to 87.27% in rainy conditions.
Limited effectiveness in dynamic environments: Even in the more predictable environment of autonomous vehicles, AI cameras only reduce primary collisions by 94%. In fast-changing construction zones, performance could be worse.
Maintenance requirements: Regular cleaning and upkeep - especially due to dust or debris - create operational challenges and potential working-at-height safety risks.
Operator-only alerts: AI systems typically notify the machine operator, placing the burden solely on them to react and avoid incidents.
How TAG-Based Proximity Warning Systems such as SensorZone Compensate
TAG-based PWS uses wearable transponders attached to hard hats or PPE. These systems offer several strengths:
High reliability: TAGs work consistently in all conditions and are not affected by line-of-sight or visibility issues. Detection accuracy exceeds 99%.
Low maintenance: Advanced systems use non-rechargeable, long-life TAGs designed for multi-year use in rugged environments.
Dual alerting: Both the operator and the pedestrian receive alerts when a TAG wearer enters a danger zone - promoting shared responsibility and safer behavior.
Minimal system upkeep: Once installed, these systems are robust and low maintenance.
Why a Hybrid AI + TAG System Delivers Breakthrough Safety Performance
A hybrid safety solution using both AI and TAG systems delivers layered protection and unparalleled situational awareness:
Covers both TAG and non-TAG individuals: AI cameras can detect pedestrians not wearing TAGs (e.g., members of the public or subcontractors), adding an extra layer of protection.
Unique data insights: Each TAG has a unique ID, enabling tracking and analysis across time. When connected to a platform, this allows:
Collection of safety data for training and process improvements.
Heat maps of pedestrian and machine activity to identify high-risk areas.
Event correlation between TAG alerts and camera footage, giving safety teams clear context for investigations.
Enhanced video validation: Overlaying video with TAG movement data improves accuracy, provides visual verification, and reduces false alarms.
Cloud-based analytics: Integrated platforms allow for real-time insights, smarter site design, and faster incident response.
Conclusion: A Best-in-Class Safety Strategy
In hazardous, high-movement environments like construction and recycling, relying on one technology alone may not be enough. But by combining AI cameras with TAG-based Proximity Warning Systems, you create a resilient, dual-layered solution that:
Reduces blind spots and false positives
Shares safety responsibility between workers and operators
Provides real-time and historical insight into site behavior
Helps drive continuous improvement through actionable safety data
Ready to future-proof your site safety strategy?
Contact us at SensorZone to learn how integrated AI and TAG-based solutions can deliver measurable improvements in protection, compliance, and operational efficiency.