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  • PRODUCTIVITY MONITORING OF CONSTRUCTION …

    Table 2 presents the 16 papers in the sample that use methods based on computer vision. Video-based activity analysis requires methods for detecting and tracking resources, and procedures for activity recognition (Liu and Golparvar-Fard 2015). Gong and Caldas (2010) present a video interpretation model that extracts productivity information

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  • Automated excavators activity recognition and …

    The vision-based methods can visualize the equipment state directly from images and videos, so that it becomes easy to identify false recognition and analyze the reasons behind low productivity

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  • Ghazaleh T. - Student Research Assistant - Concordia

    • Prepared a video dataset of thousands of frames for activity recognition of workers and excavators using CNNs. • Combined sequences of construction workers atomic activities to recognize higher-level micro-tasks (e.g., formwork construction) for productivity analysis of… • Studied Vision-based Human Activity Recognition (HAR) methods.

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  • Applications of ICTs and Action Recognition for

    Some other productivity-related studies involved recognition of project equipment and resource activity rather than human activity. For example, Gong & Caldas [32] developed a video interpretation model to automatically convert videos of construction operations into productivity information by tracking and recognizing project resource

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  • Automated excavators activity recognition and …

    Feb 01, 2020 · The framework for multiple excavators' activity recognition and productivity analysis is shown in Fig. 1. The framework contains five main modules: excavator detection, excavator tracking, idling state identification, activity recognition, and productivity analysis. First, a detector is used to identify all the excavators in video frames.

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  • Vision-Based Excavator Activity Recognition and

    Equipment activity recognition plays an important role in automating the analysis of onsite construction productivity, considering that human observation is always labor-intensive and time-consuming.

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  • Automatic Identification of Excavator Activities Using

    Sep 10, 2019 · Location-based approaches, however, have intrinsic limitations such as a finite sensor range and difficulty distinguishing the operations of stationary objects, and cannot provide detailed classification of equipment activities. By contrast, vision-based methods, which automatically detect and track equipment, can recognize equipment activity

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  • CogVision

    Cogvision has explicitly built industry specific AI powered vision based programs which are available Out of the Box and can be customizable to the client requirements. Cogvision's Vision based AI. Cogvision's Vision based AI can also be integrated with other existing manufacturing systems/IOT devices to help industries become more intelligent.

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  • Construction Activity Recognition for Simulation Input

    Golparvar-Fard et al. (2013) proposed a vision-based action recognition approach for earthmoving equipment that uses spatio-temporal features and support vector machines (SVM) for unsupervised machine learning classification. The limitation of most vision-based approaches, however, is that they

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  • [PDF] A Visual Sensing Approach to Estimate Material

    Aug 11, 2013 · Dump trucks are the main mean for hauling earth material within and outside of the construction and open-pit mining jobsites. The real-time monitoring of the material transportation trips is beneficial for proactive equipment management, volume estimation, and productivity measurement. The traditional manual observation is tedious, non-real-time, and expensive; therefore remote sensing

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  • CogVision

    Cogvision has explicitly built industry specific AI powered vision based programs which are available Out of the Box and can be customizable to the client requirements. Cogvision's Vision based AI. Cogvision's Vision based AI can also be integrated with other existing manufacturing systems/IOT devices to help industries become more intelligent.

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  • Analysis of the Position Recognition of the Bucket Tip

    On modern construction sites, guidance and automation systems are increasingly applied to excavators. Recently, studies have been actively conducted to compare the estimation results of the bucket tip with the motion measurement method of the boom, stick, and bucket and the sensor selection. This study selected the method of measuring the cylinder length of boom, stick, and bucket, and the

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  • Computer Vision Based Automated Monitoring and Analysis of

    This research aims to monitor the productivity of the excavator using a CV-based method and has the following objectives: (1) Comparing the CV-based and sensor-based methods of earthmoving equipment productivity monitoring to identify the advantages and limitations of each approach, and proposing a roadmap for the future work directions of automated equipment productivity monitoring; (2) …

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  • Automated Methods for Activity Recognition of Construction

    Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. Behnam Sherafat, Changbum R. Ahn, Reza Akhavian, Amir H. Behzadan, Mani Golparvar-Fard, Hyunsoo Kim, Yong Cheol Lee, Abbas Rashidi, Ehsan Rezazadeh Azar.

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  • Vision-Based Excavator Activity Recognition and

    Jun 13, 2019 · Vision-Based Excavator Activity Recognition and Productivity Analysis in Construction. Equipment activity recognition plays an important role in automating the analysis of onsite construction productivity, considering that human observation is always labor-intensive and time-consuming.

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  • Construction Equipment Activity Recognition for Simulation

    Construction equipment activity recognition for simulation input is still suffering from low productivity growth [2–5]. There are several key factors that can influence productivity in construction vision-based systems, and laser scanners have gained credibility in

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  • Automated Methods for Activity Recognition of Construction

    research activities (e.g., the 4D spatial location of the equipment/ workers, activity recognition, and activity tracking, among others) into usable information and Process Performance Indicators (PPIs) such that corrective decisions could be made immediately. Two of the most significant resources for construction projects

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  • 2D Part-Based Visual Tracking of Hydraulic Excavators

    Especially, vision-based tracking has been widely used in the earthmoving works to evaluate the productivity of equipment, such as excavators, loaders, dozers, and backhoes [13]. Earthmoving works is an important factor which affects the quality and cost of a project.

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  • Understanding The Connection: Human Activity Recognition

    Jan 27, 2021 · The two main approaches for HAR systems are sensor-based activity recognition and vision-based activity recognition. The sensor-based approach involves physically placing …

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  • Automated excavators activity recognition and …

    The proposed framework has been tested with the videos recorded from real construction sites. The overall activity recognition has achieved 87.6% accuracy. The productivity calculation has achieved 83% accuracy, which indicates the feasibility of the proposed framework for automating the monitoring of excavator's productivity.

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