[go: up one dir, main page]

Kamal et al., 2019 - Google Patents

An IoT Reconfigurable SoC Platform for Computer Vision Applications

Kamal et al., 2019

Document ID
2013030397926816090
Author
Kamal N
Abdelfattah M
Ferjani M
Amira A
Nawaz N
Publication year
Publication venue
2019 International Symposium on Systems Engineering (ISSE)

External Links

Snippet

The field of Internet of Things (IoT) and smart sensors has expanded rapidly in various fields of research and industrial applications. The area of IoT robotics has become a critical component in the evolution of Industry 4.0 standard. In this paper, we developed an IoT …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/76—Architectures of general purpose stored programme computers
    • G06F15/80—Architectures of general purpose stored programme computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
    • G06F15/8007—Architectures of general purpose stored programme computers comprising an array of processing units with common control, e.g. single instruction multiple data processors single instruction multiple data [SIMD] multiprocessors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • G06F15/163—Interprocessor communication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
US12330310B2 (en) Collision detection useful in motion planning for robotics
Lin et al. Autonomous aerial navigation using monocular visual‐inertial fusion
Yang et al. Learning to propagate interaction effects for modeling deformable linear objects dynamics
Gunen et al. Camera calibration by using weighted differential evolution algorithm: a comparative study with ABC, PSO, COBIDE, DE, CS, GWO, TLBO, MVMO, FOA, LSHADE, ZHANG and BOUGUET
Zhao et al. GSLAM: A general SLAM framework and benchmark
Loing et al. Virtual training for a real application: Accurate object-robot relative localization without calibration
Sinha et al. Convolutional neural network based sensors for mobile robot relocalization
Zhang et al. A fast detection and grasping method for mobile manipulator based on improved faster R-CNN
Rogelio et al. Object detection and segmentation using Deeplabv3 deep neural network for a portable X-ray source model
Kamal et al. An IoT Reconfigurable SoC Platform for Computer Vision Applications
Pandya et al. Instance invariant visual servoing framework for part‐aware autonomous vehicle inspection using MAVs
Nava et al. Applying dynamic reconfiguration in the mobile robotics domain: A case study on computer vision algorithms
Samarawickrama et al. 6D assembly pose estimation by point cloud registration for robotic manipulation
Wadhwa et al. Real time object detection of aerial images using deep learning on Jetson nano
Silva et al. Low-power footprint inference with a deep neural network offloaded to a service robot through edge computing
de Oliveira et al. 6D Grasping based on lateral curvatures and geometric primitives
Nasri et al. ROS-based autonomous navigation wheelchair using omnidirectional sensor
Titu et al. Experiments with cooperative robots that can detect object’s shape, color and size to perform tasks in industrial workplaces: Md. FS Titu et al.
Baker et al. GPU assisted processing of point cloud data sets for ground segmentation in autonomous vehicles
Martínez-Otzeta et al. An Open-source Library for Processing of 3D Data from Indoor Scenes.
Tasneem PATH PLANNING FOR ROBOTIC VISUAL INSPECTION BASED ON THE OBJECT SHAPE
Svishchev Advanced embedded systems for autonomous robots control
Borg et al. Simultaneous localisation and mapping of a mobile robot in a static environment
US20240054676A1 (en) Methods and apparatus for determining orientations of an object in three-dimensional data
Samarawickrama RGBD BASED DEEP LEARNING METHODS FOR ROBOTIC PERCEPTION AND GRASPING