Rule Based Visual Surveillance System for the Retail Domain

S, Rashmi; Rangarajan, K.

doi:10.1007/978-981-10-5146-3_15

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…The dilemma in urban development requires new means such as “smart cities” to solve. With the continuous development of the human society, the future city will carry more and more people 1–4 …”

Section: Introductionmentioning

confidence: 99%

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Retracted: Smart city framework based on intelligent sensor network and visual surveillance

Cai

Deng

et al. 2019

Concurrency and Computation

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In the field of urban development, the construction of new smart cities has received the attention of the government and society. In the process of promoting urban intelligence, urban road lighting, intelligent lighting, etc, have gradually received attention, while the lighting source and control methods have been greatly improved. Smart cities portray a very good vision for development for human beings. Traditional video surveillance only provides simple functions such as video capture, storage, and playback, which are difficult to use as an early warning and alarm. To ensure that abnormal behaviors are monitored in real time and effective measures are taken in a timely manner, monitoring personnel are required to monitor the video at all times.A huge monitoring network will generate massive video data. How to efficiently extract useful information from these massive data is a problem to be solved by intelligent video surveillance technology. This paper starts with the concept of top-level design of smart city construction and analyzes the meaning and content of top-level design. This paper summarizes some of the misunderstandings in the current top-level design process and provides suggestions for the top-level design.

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Section: Introductionmentioning

confidence: 99%

“…With the continuous development of the human society, the future city will carry more and more people. [1][2][3][4] The Internet of things (IoT) technology realizes the collection of urban physical and spatial data. The main forms of these data are big data, the Internet, mobile Internet, and other data transmissions.…”

Section: Introductionmentioning

confidence: 99%

Retracted: Smart city framework based on intelligent sensor network and visual surveillance

Cai

Deng

et al. 2019

Concurrency and Computation

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“…Retail stores are structured environments containing systematically organized shelf systems. The structural design of these organized shelf systems can be formalized using rules in predicate logic (Rashmi and Rangarajan 2018), enabling reasoning over the contained entities but also automatic creation of semantic environment maps by robots. Such a semantic environment map contains a rich description of objects in the stationary environment and can be used to answer queries like "Where are deodorants located?"…”

Section: Scene Graphmentioning

confidence: 99%

Semantic Digital Twins for Retail Logistics

Kümpel

Mueller

Beetz

2021

Dynamics in Logistics

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As digitization advances, stationary retail is increasingly enabled to develop novel retail services aiming at enhancing efficiency of business processes ranging from in-store logistics to customer shopping experiences. In contrast to online stores, stationary retail digitization demands for an integration of various data like location information, product information, or semantic information in order to offer services such as customer shopping assistance, product placement recommendations, or robotic store assistance.We introduce the semantic Digital Twin (semDT) as a semantically enhanced virtual representation of a retail store environment, connecting a symbolic knowledge base with a scene graph. The ontology-based symbolic knowledge base incorporates various interchangeable knowledge sources, allowing for complex reasoning tasks that enhance daily processes in retail business. The scene graph provides a realistic 3D model of the store, which is enhanced with semantic information about the store, its shelf layout, and contained products. Thereby, the semDT knowledge base can be reasoned about and visualized and simulated in applications from web to robot systems. The semDT is demonstrated in three use cases showcasing disparate platforms interacting with the semDT: Optimization of product replenishment; customer support using AR applications; retail store visualization, and simulation in a virtual environment.

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“…. ), assembly lines (assembly line monitoring) and security (surveillance (Rashmi and Rangarajan 2018)).…”

mentioning

confidence: 99%

Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective

Forradellas

Gallastegui

2021

Laws

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Digital transformation can be defined as the integration of new technologies into all areas of a company. This technological integration will ultimately imply a need to transform traditional business models. Similarly, artificial intelligence has been one of the most disruptive technologies of recent decades, with a high potential impact on business and people. Cognitive approaches that simulate both human behavior and thinking are leading to advanced analytical models that help companies to boost sales and customer engagement, improve their operational efficiency, improve their services and, in short, generate new relevant information from data. These decision-making models are based on descriptive, predictive and prescriptive analytics. This necessitates the existence of a legal framework that regulates all digital changes with uniformity between countries and helps a proper digital transformation process under a clear regulation. On the other hand, it is essential that this digital disruption is not slowed down by the regulatory framework. This work will demonstrate that AI and digital transformation will be an intrinsic part of many applications and will therefore be universally deployed. However, this implementation will have to be done under common regulations and in line with the new reality.

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Rule Based Visual Surveillance System for the Retail Domain

Cited by 4 publications

References 6 publications

Retracted: Smart city framework based on intelligent sensor network and visual surveillance

Retracted: Smart city framework based on intelligent sensor network and visual surveillance

Semantic Digital Twins for Retail Logistics

Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective

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