How Drishti Works

A sophisticated AI pipeline that transforms raw camera feeds into actionable crowd intelligence

System in Action

Data Pipeline

STEP 1

Camera Feed & AI Models

YOLOv8 detection and DeepSORT tracking from multiple camera feeds

STEP 2

Cloud Clustering

Advanced clustering algorithms to group and analyze crowd patterns

STEP 3

Heatmap Generation

Dynamic visualization of crowd distribution and movement patterns

STEP 4

AI Summarizer

Intelligent analysis and insights generation from crowd data

STEP 5

Route Optimization

Smart escape route suggestions based on real-time crowd analysis

STEP 6

Real-time Dashboard

Live monitoring interface with actionable insights and alerts

Key Technical Features

⚑

Real-time Processing

Sub-second latency processing

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Multi-camera Sync

Kafka-based synchronization

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Advanced Clustering

Crowd pattern analysis

⚑

Real-time Processing

Sub-second latency processing

πŸ“Ή

Multi-camera Sync

Kafka-based synchronization

πŸ”

Advanced Clustering

Crowd pattern analysis

⚑

Real-time Processing

Sub-second latency processing

πŸ“Ή

Multi-camera Sync

Kafka-based synchronization

πŸ”

Advanced Clustering

Crowd pattern analysis

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Heatmap Generation

Dynamic visualization

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Route Optimization

Smart escape routes

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Scalable Architecture

Large-scale deployments

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Heatmap Generation

Dynamic visualization

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Route Optimization

Smart escape routes

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Scalable Architecture

Large-scale deployments

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Heatmap Generation

Dynamic visualization

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Route Optimization

Smart escape routes

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Scalable Architecture

Large-scale deployments