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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 Amazon Rekognition?

Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures. Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.

Media

Media

Integrations Supported

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic
Qrvey
Quickwork
SightRadar
Trendzact
Unremot
Visionati
n8n

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rekognition/

Categories and Features

People Counting

Not specified

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Content Moderation

Not specified

Deep Learning

Not specified

Emotion Recognition

Not specified

Facial Recognition

Not specified

Image Processing API

Not specified

Image Recognition

Not specified

Liveness Detection

Not specified

OCR

Not specified

People Counting

Not specified

Session Replay

Not specified

Video Annotation

Not specified

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