لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Design and implementation of a light box to measure the dimensions of objects
نویسندگان :
Mohammad Imani
1
Amir Mousavinia
2
Behruz Nasihatkon
3
1- دانشگاه خواجه نصیر الدین طوسی
2- K.N.Toosi University of Technology
3- K.N.Toosi University of Technology
کلمات کلیدی :
light box،3D shape،passive method،matching feature points،measure the dimensions
چکیده :
The primary objective of this paper is to comprehensively review recent methodologies and algorithms proposed for measuring the dimensions of cube-shaped objects. These approaches typically employ either active methods or a combination of active and passive techniques. Active methods, while generally more accurate, often incur higher costs. To enhance the accuracy of active methods, it is common to utilize more images or imaging equipment with superior quality. Addressing the challenges highlighted in this paper, we introduce a passive method employing four cameras. An algorithm based on local and global features of the object, specifically a cube, is proposed for matching feature points and estimating its dimensions. The implementation of this method involves the design of an imaging box and the output results are derived from the captured images. Notably, this approach not only measures the dimensions of the object but also allows for the estimation of its 3D shape with minimal point clouds. In our proposed method, a significant advantage is observed in terms of both speed and cost reduction, while maintaining an acceptable level of accuracy (approximately 0.9 mm), when compared to other methods discussed in this paper.
لیست مقالات
لیست مقالات بایگانی شده
Entanglement-Assisted Classical-Quantum Multiple Access Wiretap Channel: One-shot Achievable Rate Region
Hadi Aghaee - Bahareh Akhbari
Energy-Efficient AP Selection in Downlink Cell-Free Massive MIMO Systems with QoS Guarantees using Deep Reinforcement Learning
Saba Samkhaniani - Abbas Mohammadi - Amir Mohammad Khoueini - Sanaz Seyedin
Active Data Fusion in Deep Neural Networks via Separation Index
Movahed Jamshidi - Ahmad Kalhor - Abdol-Hossein Vahabie
Investigation the Effects of Partial discharge Pulse Characteristics on its Propagation in Stator Windings
Arash Abyaz - Mohammad Hamed Samimi - Amir Abbas Shayegani Akmal
Fuzzy-Assisted PID Control for Nonlinear Drill-String Systems: Performance Enhancement and Comparative Evaluation
Pouyan Kamali - Mahdi Kahrizi - Amirhossein Nikoofard
Design of Fresnel-Region Millimeter-Wave Metasurface Beam Shaper Using Deep Learning
Mohammad Hossein Koohi Ghamsari - Ehsan Imanbeygi - Mehdi Ahmadi-Boroujeni
Simulation-Based Study of a Non-Contact Magnetoelastic Torque Sensor
Asal Alimohammadi - Habib Badri Ghavifekr
بهبود نمونه برداری از سیگنال روی گراف مبتنی بر نظریه دوایر گرشگورین
مهدیه صادقیان - حمید سعیدی سورک
بهبود پردازش وفقی فضا-زمان (STAP) در سیستمهای رادار هوابرد با استفاده از الگوریتمهای آگاه به تنک بودن (Sparsity) سیستم
علی شیخیان - سارا میهن دوست - نعمت الله عزتی - احسان مصطفی پور
Empirical Performance Analysis and Channel Modeling of UAV-Assisted LoRa Networks
Hossein Aghajari - Sajad Ahmadinabi - Hamed Bakhtiari babadegani - Mehdi Naderi soorki
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2