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    People Counter: Unlocking Insights through Visual Analytics
    People Counter: Unlocking Insights through Visual Analytics
    People Counter: Unlocking Insights through Visual Analytics
    Ebook96 pages1 hourComputer Vision

    People Counter: Unlocking Insights through Visual Analytics

    By Fouad Sabry

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    About this ebook

    What is People Counter


    A people counter is an electronic device that is used to measure the number of people traversing a certain passage or entrance. Examples include simple manual clickers, smart-flooring technologies, infrared beams, thermal imaging systems, WiFi trackers and video counters using advanced machine learning algorithms. They are commonly used by retail establishments to judge the effectiveness of marketing campaigns, building design and layout, and the popularity of particular brands.


    How you will benefit


    (I) Insights, and validations about the following topics:


    Chapter 1: People counter


    Chapter 2: Pedometer


    Chapter 3: Wi-Fi hotspot


    Chapter 4: Click-through rate


    Chapter 5: Web analytics


    Chapter 6: Digital signage


    Chapter 7: Unique user


    Chapter 8: Proximity marketing


    Chapter 9: Bounce rate


    Chapter 10: Indoor positioning system


    (II) Answering the public top questions about people counter.


    (III) Real world examples for the usage of people counter in many fields.


    Who this book is for


    Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of People Counter.

    LanguageEnglish
    PublisherOne Billion Knowledgeable
    Release dateMay 4, 2024
    People Counter: Unlocking Insights through Visual Analytics

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      Book preview

      People Counter - Fouad Sabry

      Chapter 1: People counter

      A people counter is an electrical device used to count the number of individuals who pass through a specific path or entry. Simple manual clickers, smart-flooring technologies, infrared beams, thermal imaging systems, WiFi trackers, and video counts employing sophisticated machine learning algorithms are examples. Retail establishments typically utilize them to evaluate the efficacy of marketing efforts, the design and layout of their buildings, and the popularity of particular brands.

      Conversion rate: In the retail sector, people counting methods are used to compute the conversion rate, which is the percentage of total visitors vs the number of buyers.

      Marketing specialists at shopping malls rely on visitor statistics to determine the efficacy of their current marketing plan. Typically, shopping mall owners evaluate marketing performance using the same conversion rate as retailers.

      Monitoring of high-traffic areas: People counters are utilized by shopping centers to determine the number of visitors in a specific location. People counters also aid in determining the density of populated places. Typically, regions where people tend to congregate are charged higher rents.

      Occupancy along the entire route In conjunction with GPS tracking, a people counting device installed within a bus or train can measure the actual occupancy of the vehicle throughout its voyage. This would assist bus operators in allocating funds and assets to routes.

      People counters are used to quantify various business KPIs. While there are numerous varieties of people counters and the metrics provided by each model vary, the majority of people counters will offer some or all of the following metrics:.

      Footfall is the amount of persons who enter a store or business during a given time period.

      The turn-in rate is the proportion of shoppers who enter a store relative to those who pass by it. With WiFi counting, stores can estimate the number of individuals who pass by. Video counting is perhaps a more precise way. The number of people that walk by a business frequently reflects the potential of the store's location, but the window conversion rate depends on elements such as the beauty of the shop window design and the efficacy of marketing activities.

      Visit duration refers to the length of time a visitor spends in a venue. Through WiFi counting, owners can determine when a smartphone-carrying patron arrived and exited a location.

      This measure tracks the user activity within a compound's districts, divisions, and courts. The bubble map or heat map enables users to analyze the percentage of engagement over an entire compound over time. The only distinction between bubble maps and heat maps is their respective presentation methods. Warmer colors indicate greater involvement on a heat map, but a bubble map displays engagement in terms of percentage and the size of the drawn bubble.

      This measure, similar to the bubble map and heat map, enables the user to visualize the flow of engagement-level traffic. With the aid of the traffic flow diagram, the mall owner is able to determine the most popular part of the mall and may decide to lease rental spaces based on demand.

      Measuring outdoor traffic enables shops to estimate the amount of prospective customers a site can attract to the business by determining the number of persons passing by the store on any given day.

      This measure examines the amount of returning customers entering a store by tracking the unique WiFi signal ID transmitted by a smartphone.

      People counting systems utilize numerous technologies, including smart-flooring technologies, infrared beams, thermal imaging, computer vision, and WiFi counting. People counters of the current fourth generation use stereoscopic imagery to solve the limitations of prior generations, such as shadow difficulties, heavy traffic counts, and disruption of floor patterns.

      Computer vision operates through an embedded device, minimizing network bandwidth consumption because just the number of individuals must be transmitted over the network. Adaptive algorithms have been created to facilitate accurate counting in both outdoor and indoor environments. Color and texture-based multi-layer background subtraction is the most robust approach.

      WiFi counting use a WiFi receiver to identify the distinct WiFi management frames generated by cellphones within range.

      The fourth generation of people counters provides users with the option to review the validity and integrity of the data produced by their counter. The user will be able to validate the counter's accuracy and make business decisions appropriately, taking into account all the disparate data.

      People counters are meant to merge into the store environment so as to cause the least amount of obstruction and interruption possible. Moreover, because people counters are readily confused with surveillance cameras, customers may feel anxious and preoccupied if they are not built and installed appropriately. If the people counter is not properly concealed or smoothly incorporated into the environment, consumers' purchasing behavior will be influenced if they believe they are being monitored.

      People counters of the fourth generation incorporate advancements in prior technology, such as:

      Fusion of light receivers from numerous sources of varied intensities enables operation in low/variable light circumstances.

      Features to comply with local restrictions prohibiting the use of CCTV in certain malls, while keeping the ability to get relevant metrics from video counting.

      Exclusion of personnel using AI-based counting

      mmWave / radar-based method for counting individuals.

      Prior to the introduction of electronic people counters, manual people counters were utilized. These required a store clerk to stand by the door of the business and press a button on a counter each time a customer entered. This was deemed erroneous because to the high rate

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