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What is Retail Sensing?

Testing reveals that video-based systems for counting individuals can achieve accuracy levels that surpass 98%. This impressive precision is obtained without infringing on individual anonymity. An overhead surveillance camera, whether CCTV or IP, oversees the movement of people within a specific area. This camera connects to a counting mechanism that accurately detects and records the number of individuals traversing a designated counting zone. The information gathered by these counters can be sent through several methods such as Wi-Fi, the Internet, IoT protocols, IP, Ethernet, RS485, or RS232. By combining these counts with real-time sales data from a point-of-sale (POS) system, businesses can gain immediate insights into their sales conversion performance. To effectively manage large entrances and spacious areas, multiple cameras can be linked across the ceiling space. Furthermore, an integrated video server allows for the simultaneous viewing of live footage alongside the respective people counts, facilitating accurate verification and remote system configuration. Once the system is established, it can be fine-tuned to transmit only the counting data over the network, which aids in conserving bandwidth. For remote commissioning purposes, it is also feasible to replay the videos utilized for counting. This comprehensive approach not only boosts data precision but also significantly enhances operational efficiency, leading to better decision-making for businesses. Ultimately, the integration of these technologies paves the way for smarter resource management and improved customer experiences.

What is IBM Intelligent Video Analytics?

IBM's Intelligent Video Analytics is transforming the way organizations and agencies around the world analyze footage from stationary cameras, including those used for security, CCTV, and traffic monitoring, enabling them to extract crucial insights and uncover patterns that may be concealed within hours of recorded video. The system offers real-time alerts to capture significant events, comprehensive indexing based on content to identify important images and trends, and a flexible, standards-compliant framework. Moreover, it supports the integration of both pre-recorded videos from fixed cameras and mobile devices, allowing analysts to quickly retrieve essential information and find relevant visuals, thereby potentially speeding up the investigation process. Additionally, the advanced facial recognition features enhance lead generation and risk assessment by linking faces in the footage to an organization's watch list, which can significantly accelerate the identification of persons of interest. This sophisticated approach not only optimizes video analysis but also provides users with essential tools to manage incidents more efficiently, ensuring a more proactive response to various situations. Ultimately, the versatility of this system positions it as a valuable asset for organizations aiming to enhance their security and operational effectiveness.

Media

Media

Integrations Supported

Integrations Supported

Genetec AutoVu
IBM Cloud
IBM Watson Machine Learning Accelerator
Milestone Analytics

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Retail Sensing

Date Founded

2013

Company Location

United Kingdom

Company Website

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

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/common/ssi/ShowDoc.wss

Categories and Features

People Counting

Not specified

Categories and Features

Video Analytics

Not specified

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