Organizations often lack reliable, real‑time data on how many people enter, exit, or move through their facilities.
Manual counts or basic sensors often produce inconsistent and unreliable footfall data.
Without time‑based insights, it is difficult to plan staffing, security, or services effectively.
Organizations struggle to compare visitor traffic across buildings, sites, or branches.
Mikshi AI analyzes live camera feeds at entrances and movement zones to accurately count people. Footfall data is centrally analyzed and presented through dashboards, alerts, and reports—enabling data‑driven decisions across facilities and locations.
Centralized Footfall Analytics: View footfall counts across entrances, zones, buildings, or sites from a single dashboard.
Peak Time and Trend Analysis: Identify busy periods, low‑traffic times, and long‑term movement trends.
Automated Footfall Reports: Generate daily, weekly, or monthly reports for planning and review.
Multi‑Location Footfall Visibility: Compare traffic patterns across multiple facilities or branches.
Optimize logistics with real-time safety intelligence.
Prevent incidents, ensure compliance, and boost performance.
Live video feeds from cameras positioned at entrances or movement areas are securely captured.
AI models analyze video feeds to detect and count entry, exit, or movement events.
Footfall counts are logged with timestamps and location context.
Footfall insights are displayed on dashboards and included in reports.
One platform delivering smart decisions across the organization
Reliable footfall data replaces assumptions and manual estimates.
Align staffing, security, and services with actual footfall patterns.
Proactively manage congestion, queues, and crowding during high‑traffic periods.
Understand how usage varies by time, location, or season.
Use AI‑powered footfall analysis to gain visibility into facility usage and movement patterns.
Request a DemoOne platform delivering smart decisions across the organization
No additional sensors or hardware required.
On‑premise, cloud, or hybrid deployment based on IT and compliance needs.
Accurately track footfall across multiple entrances or zones.
Easily deploy across offices, hospitals, campuses, stores, factories, or public facilities.
Supporting businesses across manufacturing, retail, logistics, and more.
Flexible, scalable AI built to fit your industry needs.
Protect public transit hubs and city squares by detecting unattended bags instantly, supporting anti-terror protocols for immediate assessment.
Ensure hospital safety by detecting unidentified bags in crowded waiting rooms, preventing panic and maintaining clear evacuation routes.
Safeguard students by monitoring corridors and assembly halls for suspicious packages, allowing security to quickly identify and isolate threats.
Enhance shopper safety by monitoring food courts for abandoned luggage, managing security threats without disrupting the shopping experience.
Protect bank branches and ATM lobbies by detecting bags left behind, distinguishing between lost property and potential security threats.
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.
Use AI‑powered footfall analysis to gain visibility into facility usage and movement patterns.
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