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Crowd Density & Overcrowding Detection

Prevent Overcrowding and Improve In‑Store Experience

Monitor crowd density in real time using AI‑powered video intelligence to reduce congestion, improve customer flow, and enhance in‑store safety.

Why Overcrowding Impacts Retail Performance

Unmanaged crowding inside stores leads to poor customer experience, safety risks, and lost sales opportunities.

Congested Aisles and Checkout Areas

High footfall during peak hours creates bottlenecks in aisles, billing counters, and popular sections.

No Real-Time Visibility Into Crowd Levels

Store managers lack live insights into which areas are overcrowded and need immediate intervention.

Negative Customer Experience and Safety Risks

Overcrowding results in longer wait times, discomfort, and increased risk of incidents.

Turn In‑Store Cameras Into Crowd Intelligence

Mikshi AI continuously analyzes live camera feeds across retail spaces to monitor crowd density and detect overcrowding in real time. Crowd insights are centrally analyzed and presented through dashboards, alerts, and reports—enabling proactive crowd management and better in‑store planning.

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Centralized Crowd Analytics: Monitor footfall density and congestion trends across store areas from a single dashboard.

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Real-Time Overcrowding Alerts: Instantly notify store staff when crowd thresholds are exceeded in specific zones.

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Automated Crowd Reports: Generate reports to analyze peak hours, high‑traffic zones, and customer movement patterns.

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Multi‑Store Visibility: Apply consistent crowd monitoring across multiple stores or locations.

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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 feeds from existing in‑store cameras are securely captured.

AI Inference (On-Prem or Cloud)

AI models analyze video feeds in real time to estimate crowd density and congestion.

Crowd Event Detection

Crowd thresholds and density events are detected and logged.

Unified Application & IoT Actions

Insights are displayed on dashboards, trigger alerts, and are included in reports.

Measurable Safety and Operational Improvements

One platform delivering smart decisions across the organization

Up to 25–40%

Improvement in Customer Flow

Real-time crowd insights help reduce congestion and improve aisle movement.

20–35%

Reduction in Customer Wait Time

Better crowd management at checkout and service counters improves throughput.

Up to 80%

Higher In‑Store Conversion Rates

A smoother shopping experience encourages customers to browse longer and purchase more.

Up to 80%

Improved Safety & Compliance Readiness

Overcrowding alerts help maintain safe occupancy levels during peak hours.

Deliver a Better In‑Store Experience

Use AI‑powered crowd detection to manage footfall, reduce congestion, and improve customer satisfaction.

Request a Demo

Deployment & Integration

One platform delivering smart decisions across the organization

Works With Existing Store Cameras

No new hardware or sensor installation required.

Flexible Deployment Models

On‑premise, cloud, or hybrid deployment based on IT policies.

Easy Zone Configuration

Define crowd thresholds for aisles, billing areas, entrances, or sections.

Scales Across Store Networks

Easily deploy across multiple retail stores or malls.

Industries We Serve

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

Retail

Optimize store layouts and product placement by analyzing customer heatmaps and dwell times. Understand exactly which aisles attract the most traffic to maximize sales per square foot.

Smart City

Manage crowd safety during festivals, protests, or rush hours by monitoring density levels in real-time. Prevent stampedes by alerting authorities when crowd crush thresholds are exceeded.

Education

Analyze student flow in cafeterias and libraries to optimize facility usage and staffing. Identify overcrowding in hallways between classes to improve campus movement schedules.

Healthcare

Monitor patient density in waiting rooms to effectively manage OPD flow. Ensure social distancing compliance during health crises by tracking occupancy levels in real-time.

BFSI

Analyze footfall patterns in bank branches to determine optimal opening hours and staff rostering. Understand customer peak times to improve service delivery and branch profitability.

Corporate

Optimize office space utilization by tracking occupancy in meeting rooms and cafeterias. Use data to make informed decisions about real estate downsizing or expansion.

FAQs

Find the answers you need

Entrances, aisles, checkout counters, trial rooms, promotional areas, and store sections.

Yes. Crowd thresholds can be configured based on time, zone, or store policy.

No. It is designed for crowd management and customer experience improvement.

Yes. Crowd data from multiple stores can be monitored centrally.

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

Deliver a Better In‑Store Experience

Use AI‑powered crowd detection to manage footfall, reduce congestion, and improve customer satisfaction.

Request a Demo

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