Sökning: "SSD"

Visar resultat 1 - 5 av 120 uppsatser innehållade ordet SSD.

  1. 1. Using Synthetic Data For Object Detection on the edge in Hazardous Environments

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Faraz Azarnoush; Damil Sabotic; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). LÄS MER

  2. 2. Ecological risk assessment of pesticide use in rice farming in the Mekong Delta , Vietnam

    Magister-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Bubaraye Ohiosimuan Dirikumo; [2023]
    Nyckelord :Pesticides; Ecological Risk Assessment ERA ; rice farming; Mekong Delta; PRIMET Model; Exposure Toxicity Ratio ETR ; species sensitivity distribution SSD ; predicted environmental concentrations PECs ;

    Sammanfattning : Pesticide use in rice farming is a common practice in the Mekong Delta and poses ecological risks to aquatic organisms, the environment, and human health. This study focused on the ecological risk assessment of pesticide use in rice farming using the PRIMET model as a decision support tool to evaluate the risks of pesticide exposure, ecotoxicity, and risk characterization, as well as employing the species sensitivity distribution (SSD) assessment model to calculate the potentially affected fraction (PAF) of species based on the computed predicted environmental concentrations (PECs) from PRIMET. LÄS MER

  3. 3. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

    Författare :Serhat Bulun; [2023]
    Nyckelord :;

    Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

  4. 4. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

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

    Författare :Vikash Lal Dodani; [2023]
    Nyckelord :Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

    Sammanfattning : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. LÄS MER

  5. 5. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones

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

    Författare :Mattia Sartori; [2023]
    Nyckelord :Nano Drones; Obstacle Avoidance; Autonomous Exploration; Autonomous Surveillance; Resource-Constrained Drones; Safe Navigation; Reactive Planning; Vision-based Navigation; Nanodrönare; Undvikande av Hinder; Autonom Utforskning; Autonom Övervakning; Resursbegränsade Drönare; Säker Navigering; Reaktiv Planering; Visionsbaserad Navigering;

    Sammanfattning : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. LÄS MER