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Unsafe Behavior Detection

Detect Unsafe Actions Before Accidents Happen

Identify unsafe human behavior around machines and hazardous zones in real time using AI-powered video analytics—and prevent accidents before they occur.

Why Unsafe Behavior Around Machinery Goes Unnoticed

Unsafe actions near machines and hazardous zones often remain undetected until they result in serious accidents or downtime.

Improper Machine Handling

Operators may bypass safety protocols, operate machines incorrectly, or take unsafe shortcuts that increase accident risk.

Unauthorized Entry Into Danger Zones

Personnel often enter restricted or hazardous zones near moving machinery without realizing the risk.

Unsafe Human–Machine Proximity

Lack of real-time monitoring makes it difficult to detect when workers come dangerously close to operating machines.

Turn Live Video Into Proactive Machine Safety Intelligence

Mikshi AI continuously analyzes live camera feeds to detect unsafe behavior around machines and hazardous zones. Events are centrally analyzed and delivered through dashboards, alerts, and reports—enabling immediate intervention and long-term safety improvements.

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Centralized Safety Analytics: Track unsafe actions related to machine handling, danger zone entry, and human–machine proximity across all sites.

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Real-Time Alerts & Notifications: Instantly alert safety teams when unsafe behavior is detected near machinery or restricted areas.

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Automated Safety Reports: Generate reports highlighting recurring unsafe practices, high-risk machines, and zones requiring attention.

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Consistent Safety Enforcement Across Sites: Apply uniform safety rules across multiple plants, lines, or facilities.

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How Mikshi AI Works

Optimize logistics with real-time safety intelligence.
Prevent incidents, ensure compliance, and boost performance.

Camera Streams

Live video streams from existing CCTV cameras covering machines and operational zones are securely captured.

AI Inference (On-Prem or Cloud)

AI models analyze video feeds in real time using the Mikshi AI Box or cloud infrastructure.

Detection & Event Generation

Unsafe behaviors such as improper machine handling, danger zone entry, and unsafe proximity are detected and logged as events.

Unified Application & IoT Actions

Events are visualized through dashboards and alerts and can trigger IoT actions such as alarms, signal lights, or machine interlocks.

Measurable Safety Improvements With Unsafe Behavior Detection

One platform delivering smart decisions across the organization

Up to 45–60%

Reduction in Unsafe Acts Near Machinery

Continuous monitoring discourages risky behavior around machines and reinforces safe operating practices.

30–50%

Fewer Machine-Related Accidents

Early detection of unsafe proximity and handling prevents incidents involving heavy equipment and moving parts.

60%

Smoother Class Transitions

Real-time alerts enable immediate action compared to manual supervision or post-incident reviews.

Up to 80%

Improved Machine Safety Compliance

Data-driven insights help identify high-risk machines, zones, and shifts for targeted safety training.

Make Machine Safety Proactive, Not Reactive

Detect unsafe behavior around machines in real time using AI-powered video intelligence on your existing cameras.

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Deployment & Integration

One platform delivering smart decisions across the organization

Works With Existing CCTV Cameras

No changes required to your current camera setup.

Flexible Deployment Models

On-premise, cloud, or hybrid deployment based on safety and IT requirements.

Machine & Safety System Integration

Integrates with alarms, signal lights, PA systems, and safety mechanisms.

Scales Across Plants & Lines

Deploy consistently across machines, production lines, and facilities.

Industries We Serve

Supporting businesses across manufacturing, retail, logistics, and more.
Flexible, scalable AI built to fit your industry needs.

Smart City (Transport & Venues)

Protect public transit hubs and city squares by detecting unattended bags instantly, supporting anti-terror protocols for immediate assessment.

Healthcare

Ensure hospital safety by detecting unidentified bags in crowded waiting rooms, preventing panic and maintaining clear evacuation routes.

Education

Safeguard students by monitoring corridors and assembly halls for suspicious packages, allowing security to quickly identify and isolate threats.

Retail (Malls)

Enhance shopper safety by monitoring food courts for abandoned luggage, managing security threats without disrupting the shopping experience.

BFSI (Banking & ATMs)

Protect bank branches and ATM lobbies by detecting bags left behind, distinguishing between lost property and potential security threats.

Corporate

Secure corporate lobbies and mailrooms by flagging unattended items left by visitors. Mitigate security risks by ensuring no object is left unowned in sensitive facility areas.

FAQs

Find the answers you need

Examples include improper machine handling, entering hazardous zones, unsafe proximity to moving machinery, and violation of machine safety protocols.

Yes. Virtual danger zones can be configured around machines to monitor unauthorized entry and unsafe proximity.

Yes. The system is designed to operate reliably in dynamic, high-ovement environments.

No. It is also applicable to logistics, construction, utilities, and heavy industrial environments.

Video can be processed on-premise or in the cloud, depending on deployment preference.

Make Machine Safety Proactive, Not Reactive

Detect unsafe behavior around machines in real time using AI-powered video intelligence on your existing cameras.

Request a Demo

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