AI-Powered Retail Intelligence from Your Camera Feed
CrowdIQ is a plug-and-play AI analytics solution that transforms standard surveillance cameras into powerful tools for business insight. It connects directly to your local or networked cameras (RTSP, ONVIF, HTTP, webcam) and leverages custom-trained AI models to deliver:
- Accurate visitor detection with unique ID assignment
- Smart gender and age estimation with real-time overlays
- Dwell time measurement and heatmap-based behavior analysis
Whether you’re managing a retail store, public venue, or commercial space, CrowdIQ provides a seamless way to turn physical movement into actionable intelligence.
DevelMo Feature Highlights
Connect Cameras Instantly
Seamless camera onboarding with support for RTSP, ONVIF, HTTP, and local sources. Just plug and go with minimal configuration.
- Connect a variety of camera types with ease
- Auto-detects and validates streams for smooth setup
- Supports both local and networked configurations
Live Inference View
CrowdIQ uses custom AI for real-time person detection (90–95% accuracy), cultural attire recognition, and precise gender/age estimation even in challenging settings.
- AI-powered detection optimized for diverse and real-world environments
- Supports culturally specific clothing, including traditional attire
- 90–95% accuracy in person detection, with intelligent age/gender tagging
Actionable Analytics
Understand visitor behavior with analytics like peak hours, gender ratio, age distribution, and dwell time.
- Hourly traffic and demographic breakdown
- Dwell time heatmaps and visitor flow graphs
- Compare historical data across custom timeframes
Tracking Logs
Maintain a detailed record of every visitor including gender, age, entry/exit time, and duration in store.
- Exportable CSV logs for auditing or analysis
- Filter and search by gender, age, time, and ID
- Fully timestamped entries for every visit
Core Features
Everything You Need to Understand Customer Behavior
- 𝗖𝗮𝗺𝗲𝗿𝗮 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 – RTSP, ONVIF, Webcams, HTTP, etc.
- 𝗖𝘂𝘀𝘁𝗼𝗺-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 – Human detection, unique tracking ID
- 𝗚𝗲𝗻𝗱𝗲𝗿 & 𝗔𝗴𝗲 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 – Fast, accurate demographic tagging
- 𝗗𝘄𝗲𝗹𝗹 𝗧𝗶𝗺𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 – Know how long visitors spend and where
- 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 – Visual stream with annotated predictions
- 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 & 𝗥𝗲𝗽𝗼𝗿𝘁𝘀 – Interactive and exportable reports
- 𝗗𝗮𝘁𝗲-𝗥𝗮𝗻𝗴𝗲 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴 – Select custom periods for historical insight
- 𝗗𝗮𝘁𝗮 𝗟𝗼𝗴𝘀 – Full logbook of tracked individuals
Use Case: Retail Store
From People to Patterns: How Retailers Use CrowdIQ
Retailers use CrowdIQ to:
- Measure store footfall trends by hour/day/week
- Understand visitor demographics and target them better
- Optimize store layout based on dwell-time heatmaps
- Detect peak hours and manage staff accordingly
- Improve product placements and promotions based on behavior
How It Works Step-by-Step Guide
- 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝗖𝗮𝗺𝗲𝗿𝗮𝘀 – Easily onboard any existing IP, local, or HTTP stream.
- 𝗦𝘁𝗮𝗿𝘁 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 – Launch real-time detection with our custom-trained model.
- 𝗖𝗮𝗽𝘁𝘂𝗿𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 – Age, gender, dwell time, visitor tracking, and more.
- 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 𝗧𝗿𝗲𝗻𝗱𝘀 – Review real-time dashboards, timelines, and reports.
- 𝗔𝗰𝘁 𝘄𝗶𝘁𝗵 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 – Download, share or use reports for decision-making.
Starter Trial
Experience CrowdIQ - 7 Days Free-
Hardware installation and support by our technical staff
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Full access to live monitoring and inference engine
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7-day usage of analytics and report export features
Business Package
All-in-One for SMEs & Retail Chains-
Choose to include or exclude hardware in your package
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Real-time dashboard, logs, and analytics tools
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Priority support & monthly reports
Enterprise Custom
Custom AI for Complex Environments-
Fully customized AI pipelines and models
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White-labeled interface options
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Dedicated onboarding, training & ongoing support
