Sökning: "Retail Surveillance"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Retail Surveillance.

  1. 1. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jinchen Liu; [2023]
    Nyckelord :Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

    Sammanfattning : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. LÄS MER

  3. 2. Detecting Furniture in Images Based on Neural Network Models

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiayan Yang; [2022]
    Nyckelord :;

    Sammanfattning : Object detection is a challenging task that locates objects within an image or video and thenallows us to count and then track those objects. It is applied in a variety of ways, such as crowd counting, self-driving vehicles, video surveillance, face identification, and anomaly detection, and is utilized in a wide range of industries, including retail, sport, healthcare, marketing, interior design, agriculture, construction, and recreation. LÄS MER

  4. 3. Design Approaches to Alert Sounds for Interactions in Shops

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Puspita Parahita Anindita; [2021]
    Nyckelord :Sonification; interaction design; sound computing; sound interaction; sound design; alert sound;

    Sammanfattning : Shoplifting is a serious issue that causes loss to retail owners. However, the loss can be avoided by adding preventative measures to deter shoplifters from committing the crime. Surveillance [2] and a store's design and layout [3] are considered significant factors that could deter them. LÄS MER

  5. 4. Detection and Awareness of Short Alert Sounds in a Retail Environment : Towards using sonification to reduce shoplifting

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sebastian Holmqvist; [2021]
    Nyckelord :;

    Sammanfattning : This study is part of a larger research project at KTH Royal Institute of Technology that focuses on reducing theft and shoplifting in stores using sonification as a method of surveillance and preemptive measures. We believe that by triggering sounds when store visitors interact with goods, it is possible to notify the shoplifter that they are being monitored, without disturbing the regular customer. LÄS MER

  7. 5. Digital direktmarknadsföring och personlig integritet : En obeaktad gråzon?

    Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Sandro Pettersson Thorell; Fredrik Björkman; [2020]
    Nyckelord :Digital direct marketing; Privacy; Personal integrity; Social media marketing; Big data; Surveillance capitalism.; Digital direktmarknadsföring; Direktmarknadsföring; Sociala medier; Personlig integritet; Integritetsintrång; Big data; Övervakningskapitalism.;

    Sammanfattning : I takt med en tilltagande användning av internet och teknologiska enheter har tillgången till användargenererad data om individer ökat. Denna personliga data kan, genom fenomen som Big Data, vidare exploateras av företag som grund för att utforma och anpassa marknadsföring i linje med konsumenters individuella preferensmönster. LÄS MER