Mobile phone use during crane operations or driving heavy machinery is a leading cause of workplace fatalities.
Fire & Explosion Risks
Unauthorized smoking in hazardous chemical zones or timber warehouses poses catastrophic fire risks.
Inconsistent Supervision
Safety officers cannot monitor every worker 24/7; many risky behaviors go unnoticed until it’s too late.
Distracted Activity Detection
Key Features of Distracted Activity Detection
In high-risk industrial environments, Distracted Activity Detection is essential for maintaining operational safety. Our specialized module for Mobile Phone Use Detection identifies the precise skeletal posture and object silhouettes associated with unauthorized smartphone use. By monitoring hand-to-ear and hand-to-face movements, the AI provides a real-time defense against the cognitive distractions that lead to heavy machinery accidents. This component of our Distracted Activity Detection suite ensures that operators of forklifts, cranes, and production lines remain 100% focused on their tasks, significantly reducing the liability associated with divided attention in the workplace.
Fire safety compliance is a cornerstone of our Distracted Activity Detection platform. The Smoking & Naked Flame Alerts module utilizes advanced object detection to identify lighters, cigarettes, and thermal signatures of flames in prohibited zones. Beyond simple observation, this Distracted Activity Detection feature correlates the presence of smokers with high-risk areas like chemical storage or sawdust-heavy floors. By triggering immediate suppression protocols or site-wide alerts, we prevent catastrophic fire incidents before they escalate, providing an automated layer of behavioral security that traditional smoke sensors cannot offer.
Mental alertness is a critical safety KPI addressed by our Distracted Activity Detection technology. Using facial landmark tracking and ocular pattern analysis, our Fatigue & Drowsiness Monitoring module identifies early signs of operator exhaustion, such as prolonged eye closure or micro-sleep indicators. This is a vital tool within the Distracted Activity Detection ecosystem for control room staff and long-shift laborers. By proactively alerting supervisors when a worker’s alertness level drops, the system prevents errors caused by physical burnout, ensuring a safer and more responsive workforce 24/7.
The most advanced layer of our Distracted Activity Detection is the PPE & Behavior Cross-Check. This module doesn’t just look for singular violations; it analyzes the synergy between equipment compliance and worker actions. For example, the system can identify if a worker removes their safety goggles to check a mobile device or if they are performing a high-risk task without a proper harness. By integrating Distracted Activity Detection with PPE verification, we provide a holistic safety audit that ensures workers are not only wearing their gear but are also behaving with the focus required for total WSH (Workplace Safety and Health) compliance.
Our distracted activity detection begins with high-fidelity visual ingestion. Unlike standard motion sensors, our AI utilizes advanced pose estimation and object recognition to distinguish between normal work movements and prohibited actions. Whether it is the subtle glow of a cigarette or the specific posture of a worker looking at a smartphone, our “Sense” layer captures these frames in sub-millisecond intervals. By deploying high-resolution edge cameras, the system maintains constant vigilance over sensitive areas, ensuring that no lapse in concentration goes unnoticed, even in complex or low-light industrial settings.
Think (AI Agent)
In the “Think” phase, the raw visual data is processed by our proprietary distracted activity detection algorithms. Our AI agents don’t just see objects; they understand context. They can differentiate between a worker checking a handheld industrial scanner and a worker using a personal mobile device. By analyzing temporal sequences—the duration of a specific movement or the repetition of a risky posture—the agent evaluates the level of threat. This cognitive reasoning ensures a significant reduction in false alarms, allowing safety managers to focus only on genuine violations that compromise the facility’s WSH (Workplace Safety and Health) standards.
Act (AIoT)
The final “Act” phase completes the distracted activity detection loop by triggering immediate, localized responses. When a critical distraction is confirmed—such as a forklift operator using a phone—the system can instantly activate strobe lights, issue a localized PA voice warning, or even pause the machinery through our AIoT Integration. Simultaneously, a high-priority alert with a visual snapshot is sent to the safety supervisor’s dashboard. This proactive intervention ensures that human errors are corrected in real-time, effectively moving your facility from passive recording toward an autonomous “Zero-Harm” environment.
Distracted Activity Detection
Application Scenarios
Heavy Machinery Operations
Monitoring crane operators and forklift drivers to prevent mobile phone distractions that could lead to collisions or falls.
Hazardous Chemical Zones
24/7 smoking detection in flammable environments to prevent catastrophic explosions caused by unauthorized naked flames.
Control Rooms & Security Posts
Detecting sleeping or long-term distractions at critical monitoring posts to ensure constant human-in-the-loop oversight.
Manufacturing Production Lines
Identifying erratic movements or lack of focus on fast-moving assembly lines to prevent hand injuries or equipment damage.
Logistics & Loading Docks
Monitoring drivers and loaders during the handling of heavy goods to ensure full attention and prevent crushing incidents.
Laboratory & R&D Spaces
Ensuring strict adherence to safety protocols during sensitive experiments by detecting unauthorized breaks or unsafe behaviors.
Our Value
Reducing Human Error to Safeguard Your Bottom Line.
Compliance & ROI
Human error accounts for over 80% of industrial accidents. In Singapore, MOM audits increasingly look at safety culture and behavioral management as part of WSH performance.
TensorVox turns “safety rules” into “automated enforcement.” By proactively correcting risky behaviors, you reduce insurance claims, avoid SWO penalties, and foster a culture of vigilance that saves lives and money.
Find answers to commonly asked questions about our services and trading strategies
Yes. Our high-resolution AI models recognize the specific skeletal posture of someone holding a phone, as well as the object itself, ensuring high accuracy even if the phone is small in the frame.
The AI Agent analyzes movement patterns and duration. A quick touch to the ear is ignored, while the prolonged ‘hand-to-ear’ or ‘head-down-to-hand’ posture typical of phone use triggers an alert.
Yes. The system can be trained to focus on ‘eye-closure duration’ and ‘head-nodding’ patterns, which are reliable indicators of drowsiness even when lower facial features are covered.
Absolutely. Our dashboard provides video evidence of common ‘risk hotspots,’ allowing management to conduct targeted safety briefings based on actual behavior trends.
