Datum Vision Analytics

Datum Vision Analytics by Datum Labs converts CCTV and security camera feeds into privacy safe insights using computer vision analytics and video analytics, so leaders improve safety, operations, and customer experience across locations.

Footfall Analytics

Understand how many people enter your space, when they arrive and how movement changes throughout the day. Datum Vision Analytics uses camera analytics to accurately measure footfall across entrances, zones and time periods using existing CCTV or IP cameras.

Businesses use footfall analytics to identify peak hours, compare traffic across locations, evaluate layout effectiveness and align staffing with real demand. All insights are generated automatically from video analytics without installing new sensors or hardware.

Demographics Analytics

Gain visibility into who is visiting your space, not just how many. Using vision analytics and computer vision analytics, Datum Vision Analytics estimates age groups and gender distribution from camera footage in a privacy-safe and anonymized way.

Demographics analytics help teams understand audience mix by time, location and zone. These insights support better marketing decisions, store layout planning, campaign measurement and service optimization based on real visitor profiles rather than assumptions.

How Datum Vision Analytics Works

01. Authentication and Access Control

Start by signing in to Datum Vision Analytics. Secure authentication ensures camera analytics access remains protected, auditable and controlled across your organization from day one.

02. Camera Configuration

Connect existing CCTV or IP cameras by providing the IP address, port, stream type and location. The platform validates each feed and prepares it for reliable video analytics processing.

03. Industry Context Selection

Select your industry, such as retail, warehouse, office or public venue. This enables vision analytics logic and benchmarks aligned with real-world operational use cases.

04. Analytics Mode Configuration

Choose how camera data should be analyzed. Select predefined camera analytics visuals for immediate insights or configure custom computer vision analytics based on specific business requirements.

05. Insight Generation

Activate the camera stream to begin processing. Video data is analyzed in real time and converted into structured camera and video analytics, including footfall, dwell time, and movement patterns.

06. Visualization and Reporting

View insights through dashboards and charts, share them with stakeholders or download reports. Camera analytics outputs support operational, safety and business decision-making immediately.

Frequently asked questions

What is video analytics and how does it work?

Video analytics uses computer vision to analyze camera feeds and automatically detect people, movement and patterns. It converts raw video into structured insights that support security, operations and business decisions.

Can video analytics work with existing CCTV or IP cameras?

Yes. Video and camera analytics work with most existing CCTV and IP cameras. You connect the live stream or recording without replacing hardware or installing additional physical sensors.

What is footfall analytics and why is it important?

Footfall analytics measures how many people enter or move through a space over time. Businesses use it to understand traffic trends, optimize staffing, improve layouts and measure performance accurately.

How does age and gender analytics work in camera analytics?

Age and gender analytics use computer vision models to estimate demographic groups from video streams. The analysis is anonymized and does not identify individuals, focusing only on aggregated insights.

What are the most common use cases for camera analytics?

Camera analytics is used for customer behavior analysis, queue monitoring, occupancy tracking, safety compliance, space utilization and operational efficiency across retail, offices, warehouses, and public venues.

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