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features
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Description

Testing indicates that video-based people counting systems can achieve accuracy rates exceeding 98%. This remarkable accuracy is achieved without compromising anonymity. An overhead CCTV or IP camera monitors the movement of individuals within a designated area. This camera is connected to a people counter that precisely detects and logs the number of individuals passing through a specified counting zone. The data collected by these counters can be transmitted via various methods, including Wi-Fi, the Internet, IoT protocols, IP, Ethernet, RS485, or RS232. By integrating these counts with real-time sales data from a POS system, businesses can obtain immediate insights into their sales conversion rates. To effectively manage wide entrances and expansive areas, multiple cameras can be interconnected across the ceiling. Additionally, an embedded video server provides the capability to view live footage alongside the corresponding people counts, allowing for accurate verification and configuration of the system remotely. After initial setup, the system can be optimized to transmit only the count data over the network, which helps conserve bandwidth. For off-site commissioning, it is also possible to replay the videos used for counting. This multifaceted approach not only enhances data accuracy but also improves operational efficiency.

Description

Accurate data is essential for effective decision-making, yet surveys often go unanswered. Solutions like RFID and Bluetooth (BLE) can be complicated and expensive. In contrast, each smart camera effortlessly evaluates numerous faces, generating metrics that include impressions, demographic details such as age and gender, and positive emotional responses over time. Setting up one of these cameras can be completed in less than 12 minutes, and users can conveniently access a live dashboard from any location at any time. By analyzing hundreds of faces, you can measure emotional well-being over time with an accuracy exceeding 95%. This allows you to gather crucial insights regarding which demographic groups are most and least engaged. You can conduct A/B tests to assess the effectiveness of various marketing strategies and content, providing clarity on what resonates with your audience and why. This technology equips you with invaluable data and insights that can enhance your sales, marketing, and research endeavors. It also enables automatic tracking of total impressions (non-unique) while measuring average dwell time, which helps in understanding consumer behavior better. By utilizing ethical facial analysis, organizations can reveal distinctive insights about their audience that were previously difficult to obtain.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Retail Sensing

Founded

2013

Country

United Kingdom

Website

www.retailsensing.com/about-retail-sensing.html

Vendor Details

Company Name

Zenus

Country

United States

Website

www.zenus.ai/analytics

Product Features

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Product Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

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