What is AI-based person and vehicle search across cameras?

AI-based person and vehicle search allows security teams to upload a reference image of a person or vehicle and instantly find visually matching individuals or vehicles across an entire camera network — without manually reviewing footage from each camera. Mikshi AI extracts visual attributes from the reference image, such as clothing color, accessories, vehicle type, and color, and searches all indexed camera feeds to return timestamped matches with camera locations.

How does Mikshi AI search for a person across multiple cameras?

A security operator uploads or selects a reference image of the target person. Mikshi AI's visual attribute extraction engine analyzes the image for distinctive characteristics — clothing color, accessories, body build, and appearance attributes. The system then searches all connected camera feeds simultaneously, returning a ranked list of visual matches with timestamps, camera locations, and movement trail — enabling investigators to reconstruct a person's path across the facility or city in minutes rather than hours.

What visual attributes can Mikshi AI use to search for a person?

Mikshi AI's person search uses visual attributes including clothing color (upper and lower body), clothing type, accessories such as bags or hats, body build, and general appearance characteristics. For vehicle search, it uses vehicle type (car, truck, motorcycle, auto-rickshaw), vehicle color, and body style — enabling effective search even without a clear face or license plate in the reference image.

Can Mikshi AI search for persons and vehicles across multiple sites simultaneously?

Yes. Mikshi AI's multi-location search capability allows a single image-based query to search across all connected cameras — whether across multiple buildings in a factory campus, multiple bank branches, a city-wide camera network, or a large educational or corporate campus. Results from all locations are returned on a single centralized dashboard, showing all matches, timestamps, and camera locations together.

How does AI person search speed up security investigations?

Traditional security investigations require operators to manually review footage from each relevant camera — a process that can take hours or days for a large camera network. Mikshi AI's image-based search returns visual matches across all cameras in minutes — instantly showing where and when a target person or vehicle appeared, with a movement trail across the facility. This dramatically compresses investigation timelines and enables faster response during active security incidents.

Does Mikshi AI person search require face recognition?

No. Mikshi AI's person and vehicle search is based on visual attribute matching — clothing color, accessories, vehicle type, and appearance characteristics — and does not require a clear frontal face image to conduct an effective search. This makes it highly effective in real-world CCTV footage where faces are often obscured, partially visible, or captured at low resolution or unfavorable angles.

What investigation reports does Mikshi AI generate for person search?

Mikshi AI automatically generates investigation reports for every person or vehicle search query — showing all matched camera appearances with timestamps, camera locations, and visual evidence. These structured reports can be used for internal security investigations, handover to law enforcement, insurance documentation, and post-incident review — eliminating the need to manually compile evidence from multiple camera systems.

Which industries use AI person and vehicle search?

AI person and vehicle search is used across banking (suspect tracking in branch theft or ATM fraud investigations), smart city surveillance (tracking suspects across public camera networks), manufacturing (identifying unauthorized persons on production floors), logistics (tracking vehicle movements in large yards), healthcare (locating missing patients or unauthorized visitors), retail (shoplifter tracking across mall or store cameras), and educational campuses (locating unauthorized visitors across large campus deployments).

AI Person & Vehicle Search | Image-Based Cross-Camera Search & Suspect Tracking

Home Use cases

Person & Vehicle Search

Search People and Vehicles Using Images

Find persons or vehicles across camera networks using image-based appearance attribute search, without manually reviewing footage.

Industries We Serve

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

Smart City (Transport & Venues)

Search for persons or vehicles across city-wide camera networks during investigations, traffic incidents, or public safety alerts using a reference image.

Healthcare

Search for missing patients, unauthorized visitors, or vehicles across hospital campuses and parking areas using image-based matching.

Education

Locate unauthorized visitors or vehicles across school and university campuses using centralized image-based search.

Retail (Malls)

Identify repeat shoplifters or suspicious individuals across multiple outlets using a single reference image.

BFSI (Banking & ATMs)

Search for individuals or vehicles involved in ATM fraud or suspicious activity across branches and ATM camera networks.

Corporate

Locate unauthorized visitors or suspicious vehicles across multi-building campuses using centralized image-based search capabilities.

Turn Live Video Into Intelligent Search Capabilities

Mikshi AI continuously analyzes live camera feeds and indexes visual attributes of people and vehicles. Search results are centrally processed and delivered through dashboards, alerts, and reports, enabling faster investigations and cross-location visibility.

Image‑Based Attribute Search: Upload a reference image and search across cameras using visual attributes such as clothing color, accessories, vehicle type, or color.

Centralized Search Results & Analytics: View matches, timestamps, and locations from a single platform.

Faster Investigations & Reports: Generate search reports showing where and when similar persons or vehicles appeared.

Multi‑Location Search Capability: Perform image‑based search across branches, campuses, plants, or city deployments.

How Mikshi AI Works

Enable faster investigations with real-time visual search intelligence.
Prevent incidents, ensure compliance, and boost performance.

Reference Image Input

A user uploads or selects an image of a person or vehicle.

AI Attribute Extraction

Visual attributes are extracted from the image and indexed against camera data.

Image‑Based Matching

The system searches for visually similar matches across cameras.

Unified Search Results & Alerts

Matches are displayed on dashboards and can trigger alerts or reports.

Measurable Improvements With Person & Vehicle Search

One platform delivering smart decisions across the organization

Reduction in Investigation Time

Image‑based search eliminates manual camera-by-camera review.

Faster Incident Resolution

Quickly locating matching individuals or vehicles enables timely response.

Reduced Security Team Workload

Automated visual search minimizes manual effort and fatigue.

Improved Cross‑Location Visibility

Centralized search provides insights across multiple sites from a single image.

Deployment & Integration

Deploy AI-powered person and vehicle search on your existing CCTV infrastructure

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.

Search & Alert System Integration

Integrates with security dashboards, alerting systems, and reporting tools.

Scales Across Locations

Deploy consistently across branches, campuses, warehouses, or city deployments.

Why Searching Using Images Is Still Manual and Slow

Security teams often have only a reference image but lack tools to quickly find matches across cameras.

Manual Image Matching Is Inefficient

Teams rely on visual memory or manual camera-by-camera checks to match a reference image.

Traditional Systems Don’t Support Image-Based Search

Conventional CCTV systems cannot search using an image or visual attributes.

Delayed Action During Investigations

Slow identification delays response during thefts, security breaches, or safety incidents.

FAQs

Find the answers you need

This is image‑based search using visual appearance attributes, not continuous video tracking.

No. The system uses appearance attributes, not identity or biometric matching.

Yes. Users can upload a reference image to perform a search.

Yes. Image‑based searches can span all connected cameras and sites.

Processing can happen on‑premise or in the cloud, depending on deployment choice.