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AI Safety Solution for Manufacturing

viAct’s smart manufacturing solution empowers industries to optimize safety, efficiency, and productivity through AI-driven monitoring and automation. Using a combination of video analytics, IoT sensors, and wearable technologies, the platform provides real-time visibility into shopfloor operations, enabling proactive risk detection and improved decision-making.

In high-risk manufacturing environments, where workers and machinery operate simultaneously, ensuring safety and compliance is critical. viAct enhances workplace safety by continuously monitoring activities such as unsafe machine handling, improper PPE usage, and unauthorized access to restricted zones. Instant alerts and AI-powered insights help reduce incidents, improve compliance, and maintain uninterrupted operations.

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viLid -

LiDAR-based Construction Reality Capture System

viAct presents its Real-Time 4D Spatial Intelligence for Construction. It provides complete site visibility, facilitated through a combination of LiDAR scanning using fixed point poles, drone-based surveillance and handheld camera systems.

Key Features:

• ±2 cm measurement accuracy with RTK precision (±0.8 cm horizontal, ±1.5 cm vertical) supported by IMU stabilization. • Captures 240,000+ LiDAR points per second with 300 m+ detection range. • Global-shutter cameras to add accurate colour context to 3D point clouds. • On-device processing with one-touch coloured point cloud generation and LAS export for BIM workflows. • IP-rated rugged design with 0 °C–55 °C operating range for demanding site conditions. • 5G, 4G, and LAN connectivity support near real-time data stitching.

From confined space works, lifting operations, demolition, and excavation to heavy plant and machinery monitoring, viLid provides a unified 4D reality capture solution for construction projects of any scale.

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AI-Powered Worker Fatigue Detection

viAct uses its proprietary video analytics to powers an AI-driven Worker Fatigue Detection module designed for dynamic, high-risk worksites. By identifying early signs of reduced alertness, near-miss risks, and operational errors, it enables supervisors to rotate tasks, enforce supervised breaks, and rebalance manpower in real time.

Key Detection Capabilities:

• Missed visual or audio cues in high-noise, high-activity zones • Slower reactions near moving machinery or vehicle pathways • Incorrect tool or control use during repetitive tasks • Delayed response to alarms, spotters, or proximity alerts • Unsafe manual handling posture leading to drops or strain risks • Loss of balance or missteps on stairs, ramps, or uneven surfaces

By turning subtle fatigue signals into timely interventions, AI reduces the safety risks before they escalate—and productivity stays intact.

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AI-powered Pedestrian Detection

viAct’s AI-Powered Pedestrian Detection is engineered to address one of the most complex safety challenges across industrial environments: the constantly changing interaction between people and moving vehicles. Built to work seamlessly with existing CCTV or IP camera infrastructure, the solution brings intelligence to areas where human–vehicle risk is highest:

• Workers crossing active vehicle routes without confirmed visual contact • Pedestrians entering restricted zones during live operations • Vehicle operators failing to detect pedestrians in blind spots • Movement outside approved walkways, crossings, or designated paths • Overcrowding during shift changes or peak operational hours

The proprietary AI video analytics now delivers 24/7 monitoring across high-risk environments such as manufacturing plants, warehouses and logistics hubs, dynamic construction zones, cargo terminals, as well as public and transport-intensive spaces including aviation, metro, and rail facilities.

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AI-Powered Anomaly Detection

The Vision AI–Powered Anomaly Detection module by viAct is designed for complex manufacturing and industrial environments, enabling early identification of subtle deviations across machines, workflows, and material movement—often before they escalate into safety risks, quality losses, or production delays.

Key applications include:

• Detecting irregular machine movements or cycle-time variations • Identifying unusual worker–machine interaction patterns • Flagging abnormal material build-up or blockages • Highlighting machinery downtime during planned production periods • Spotting deviations in assembly sequences • Monitoring congestion or misrouting within internal logistics

By applying AI-driven video analytics through existing CCTVs on site, this module introduces continuous situational awareness to the factory floor—transforming raw visual data into real-time, actionable operational intelligence.

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Worker Smoking Detection

viAct’s AI-powered Worker Smoking Detection module is designed to identify smoking instances in restricted and high-risk areas across industrial sites. By enabling real-time detection and rapid intervention, it helps EHS teams prevent fire escalation, secondary hazardous reactions, and the normalization of unsafe behaviour through repeated violations.

Ideal deployment scenarios include:

• Smoking during night shifts or low-supervision periods • Proximity to flammable zones such as fuel storage, gas cylinders, and chemical handling areas • Poorly ventilated spaces including equipment rooms and enclosed floors • Concealed smoking behind machinery, containers, or structural elements

Whether it is a single unsafe act or a recurring behavioural pattern, viAct AI converts visual signals into actionable alerts—allowing safety teams to intervene early, enforce policy consistently, and reduce latent fire risk before it turns into an incident.