Near Miss Detection
Preventing Accidents Before They Happen with Near Miss Detection in High-Risk Industries
From sudden slips to crane swing paths, AI-powered video analytics by viAct continuously monitor unsafe interactions in dynamic job sites, empowering safety teams with predictive insights, automated alerts, and video-based evidence to enforce proactive safety. Transform hindsight into foresight and stay a step ahead of danger.
Near Miss Detection is an advanced AI-powered safety solution designed to identify high-risk interactions and close-call events in real time, before they escalate into workplace incidents. Whether it’s a worker narrowly avoiding a collision with moving machinery, a pedestrian stepping into a vehicle path, or an unsafe reaction near heavy equipment, these subtle but significant moments often go unnoticed.
viAct proprietary video analytics technology leverages existing CCTV or IP camera infrastructure to monitor dynamic work zones continuously, detecting patterns of risky behavior and generating real-time alerts without relying on manual reporting. The system captures video evidence of each event, helping safety teams analyze root causes, conduct effective training, and make proactive changes to site operations.
Ideal for industries like construction, logistics, and manufacturing, the solution helps prevent accidents, reduce downtime, and support compliance with global safety standards. By turning near misses into meaningful safety insights, viAct empowers organizations to move from reactive safety practices to a predictive, zero-incident approach.
Why Detecting Near Misses Is Often Overlooked Yet Critically Important?
Near misses, those close-call incidents that almost result in accidents are often invisible in day-to-day site operations, yet they are the earliest warning signs of bigger safety failures. In high-risk industries like construction, manufacturing, and logistics, these events are frequently unreported due to time pressure, normalization of risk, or lack of proper monitoring tools. While no immediate harm occurs, these moments highlight system weaknesses that can lead to future incidents if left unaddressed.
Common reasons near misses go unnoticed include:
● Workers narrowly avoiding collisions with moving vehicles or machinery
● Sudden evasive movements due to environmental hazards or unexpected workflow interruptions
● Unsafe pedestrian behavior in restricted or poorly lit areas
● Manual material handling errors or dropped tools in congested zones
● Human-machine interaction near blind spots without proper signaling
Additional challenges include:
● Limited visibility during night shifts or in weather-affected zones
● EHS teams relying solely on post-incident reports and observations
● Absence of real-time alerts to prompt immediate intervention
While these events might seem minor, they signal underlying hazards. viAct AI-powered Near Miss Detection transforms regular CCTV into a smart detection system that flags unsafe behaviors as they occur, empowering EHS teams to act early, reduce future risk, and strengthen predictive safety strategies.
Where Is Near Miss Detection Most Critical?
Near misses unfold in the unnoticed margins of industrial life—brief, quiet signals of larger danger. viAct AI interprets these overlooked moments across sectors, preventing harm where instinct and supervision alone fall short.
Construction Sites with Equipment Movement in Congested Zones
From reversing dumpers to swinging cranes and congested material zones, construction sites are hotspots for near misses. Workers often face close calls with moving equipment, blind corners, and unmarked danger zones. viAct detects these unsafe interactions instantly, enabling real-time alerts and preventive actions.
Mining & Oil & Gas Rigs During Maintenance or Shutdowns
Mining site with hydraulic lifts or offshore rigs handling risers and casing in tight walkways, all involve extreme spatial constraints. viAct detects unsafe movement during maintenance, rigging, and shutdown operations, alerting teams to act before close calls become casualties.
Warehouses & Logistics Yards in Motion
In high-traffic dispatch zones, forklifts, AGVs, and human activity overlap constantly. Near misses often stem from narrow aisles, obstructed views, or unexpected directional changes. viAct AI identifies human-machine proximity risks and flags unsafe moments before they lead to accidents.
Ports & Shipyards During Container Operations
Massive containers, mobile cranes, and straddle carriers create complex traffic in ports. Workers in these zones face near misses due to swinging loads, blind spots, or walking into vehicle paths. viAct ensures active monitoring and timely alerts to prevent collisions and crush injuries.
Manufacturing Plants with Automated Assembly Line Processes
Fast-paced assembly lines, robotic arms, and conveyor systems pose ongoing threats of unintended contact. Workers reaching into machines, slipping on factory floors, or bypassing safety barriers are common near-miss triggers in factory floors. viAct provides continuous surveillance of these zones for early detection.
How does video analytics monitor Near Miss Incidents?
1
Choose
Safety leaders initiate the process by activating viAct Near Miss Detection module, part of its extensive library of 100+ AI video analytics solutions. This module is engineered to identify unsafe actions, close-call events across dynamic and high-traffic job sites.
2
Connect
The AI module integrates seamlessly with the existing site surveillance infrastructure. Whether using AI-ready CCTV or standard IP cameras, the system connects via RTSP or similar streaming protocols, requiring no new hardware.
3
Capture
Once active, the AI continuously monitors real-time video feeds to track worker behavior, object movement, and spatial proximity using advanced algorithms to identify near misses such as:
● Workers narrowly avoiding moving machines (Unsafe human-machine interactions)
● Sudden evasive movements indicating loss of control
● Unusual behavior in high-risk zones that signal potential incidents
4
Control
When a near miss is detected, the system triggers immediate alerts onsite (via light/sound signals) and remotely (via app, SMS, or dashboard). All events are logged for review in a centralized dashboard, enabling data-driven insights that improve safety protocols, workforce training, and incident prevention strategies.
Case Study: Saudi Manufacturer Reduces Forklift Near Misses by 62% in 3 months with viAct AI
Industry :
Manufacturing
Location :
Saudi Arabia
Module :
Near Miss Detection
The Problem:
At a leading manufacturing facility in Riyadh, near misses occurred daily between forklifts and workers in raw material loading bays. During peak dispatch hours, forklifts reversing from blind storage exits nearly collided with floor staff carrying packing slips or guiding pallets. Mirrors and floor markings were in place, but poor visibility and multitasking led to several unreported close calls.
The Solution:
The company integrated viAct Near Miss Detection module with existing CCTV in forklift pathways. The AI flagged unsafe proximity especially during reversing and sent real-time alerts. “We finally saw the near misses no one reported,” noted the HSE Supervisor.
The viAct impAct:
● Forklift-related near misses dropped by 62% within the first three months, significantly reducing safety incidents and improving operational flow in high-traffic loading and storage zones.
● AI-driven video evidence led to restructured traffic lanes, revised shift protocols, and a 30% rise in EHS audit readiness, boosting trust with global partners and regulatory bodies.
Why Choose viAct Near Miss Detection Over Outdated Safety Practices?
Beyond simply flagging near misses, viAct helps EHS teams in reducing repeat incidents and benchmarking performance across congested zones:
01
91% of near misses were previously unreported; viAct AI flagged them instantly in high-risk forklift zones, improving incident visibility.
02
Forklift-related near misses dropped by 56% within 90 days of deployment, especially during blind turns.
03
Supervisor response time reduced by 70%, with zone-specific real-time alerts triggered by unsafe human-machine proximity improving site safety scores.
04
38% improvement in site-wide safety scores, tracked daily through viAct automated zone-based risk rating system.
05
30% faster internal EHS audits, enabled by AI-generated site-wise scorecards summarizing violations, repeat offenses, and compliance gaps.
06
63% faster root cause analysis, using trend reports highlighting recurring safety lapses by department and shift.
07
42% decline in repeated vehicle violations observed post-targeted training guided by AI-analyzed behavioral patterns and safety trends across high-risk zones.