Venkata Santosh Kumar Delhi

Bio: Venkata Santosh Kumar Delhi is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Building information modeling & Computer science. The author has an hindex of 7, co-authored 29 publications receiving 123 citations. Previous affiliations of Venkata Santosh Kumar Delhi include Indian Institutes of Technology & Indian Institute of Technology Madras.

Predicting Safety Hazards Among Construction Workers and Equipment Using Computer Vision and Deep Learning Techniques

Abstract: The construction industry is one of the most hazardous industries suffering from a high on-site accident rate. A lot of safety hazards result from dynamic activities of construction workers and equipment. Therefore, tracking the location and motion of workers and equipment as well as identifying the interaction between them are crucial to preventing safety hazards on construction sites. Currently, with the extensive installation of surveillance cameras, computer vision techniques can be applied to process the videos and images captured on construction sites, which can be used to monitor site safety and to identify potential hazards. With the aim to predict and prevent the safety hazards among workers and equipment, this paper proposes a methodology to monitor and analyse the interaction between workers and equipment by detecting their locations and trajectories and identifying the danger zones using computer vision and deep learning techniques. First, workers and construction equipment are automatically located from cameras and classified by a deep region-based convolutional neural network (R-CNN) model. Then, the location and classification results are further processed by another CNN-based model to obtain trajectories of those objects. Based on the detection and trajectories, the spatial-temporal relationship between workers and equipment is analysed, from which the danger zones for the workers are identified and the corresponding safety alarms are generated. Experiments are conducted to demonstrate the capability of the proposed methodology for accurately identifying and predicting safety hazards among construction workers and equipment, which can contribute to the safety conditions on construction sites.

Detection of Personal Protective Equipment (PPE) Compliance on Construction Site Using Computer Vision Based Deep Learning Techniques

Abstract: Construction safety is a matter of great concern for both practitioners and researchers world-wide. Even after enough risk assessments and implementations of adequate controls on the work environments, construction workers are still subject to safety hazards. The need for personal protective equipment (PPE) becomes important in this context. Automatic and real-time detection of non-compliance of workers towards PPE is an important concern. The developments in the field of computer vision and data analytics, especially using deep learning algorithms have the potential to address this challenge in construction. Through this study a framework is developed to sense in real time, the safety compliance of construction workers with respect to PPE, thereby allowing to integrate this framework into the safety workflow of an organization. The study makes use Convolutional Neural Networks model developed by applying transfer learning to a base version of YOLOv3 deep learning network. Based on the presence of hardhat and safety jacket, the model predicts the compliance in four categories such as NOT SAFE, SAFE, NoHardHat and NoJacket. A data set of 2509 images collected from video recordings from several construction sites and web-based collection has been used to train the model. The model reported an F1 score of 0.96 with an average precision and recall rates at 96% on test data set. Once a non “SAFE” category is detected by the model, an alarm and a time-stamped report are also incorporated to enable a real-time integration and adoption on the construction sites. Overall, the study provides evidence on the feasibility and utility of computer vision-based techniques in automating the safety related compliance processes at construction sites.

Relating Institutions and Governance Strategies to Project Outcomes: Study on Public–Private Partnerships in Infrastructure Projects in India

Abstract: Public–private partnerships (PPPs) in infrastructure are long-term agreements subject to uncertainties. A variety of governance strategies must therefore be enacted over the PPP lifecycle t...

Litigation in Construction Contracts: Literature Review

Abstract: In the last few decades, the topic of alternate forms of dispute resolution in construction projects has received considerable interest from researchers and practitioners because of the imp...

Governance issues in BOT based PPP infrastructure projects in India

Abstract: Purpose – The aim of this paper is to identify the combinations of economic, normative, reputational and cognitive mechanisms that can prevent post‐award governance challenges on build‐operate‐transfer (BOT) projects in India.Design/methodology/approach – The paper uses an empirical, case‐study based methodology to collect data and analyzes the cases through the use of the qualitative comparative analysis (QCA) technique. The paper first identifies and classifies the various kinds of governance challenges and preventive mechanisms in BOT projects based on the extant literature. Empirical evidence on 11 BOT projects in India is gathered and QCA is employed to unearth the linkages between specific governance mechanisms and post‐award challenges on these projects.Findings – Project governance issues were identified across two dominant interfaces – one between the public and private sector and the other between the project and the societal stakeholders. Governance mechanisms based on providing shared incentiv...

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

Abstract: What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The Organization of Will

Abstract: The combining of the efforts of a number of persons for the accomplishment of a particular purpose results in the organization of effort.' Such an organization may receive its direction either from the will of an individual or from the will of a group. The process by which a group will is arrived at may be termed the organization of will. In the organization of effort, he movement is from the one toward the many, i.e., from the controlling purpose to the coordinated efforts of the various persons who contribute to its accomplishment. In the organization of will, the movement is from the many toward the one, i.e., from the wills of individual members to the single purpose which comes to direct and unify the activities of the group. Organizations may be represented graphically by the cone, the base of the cone representing the individuals organized, the apex their unifying purpose. The organizing of will may be thought of as a movement from base toward apex; the organizing of effort as a movement from apex toward base. These two types of organization may exist separately or combined. In an army, a railroad, a government department, and a x See paper on this topic in the July number of this Journal.

Criteria for contractor selection

Abstract: This paper is concerned with identifying universal criteria for prequalification and bid evaluation, and the means by which different emphases can be accommodated to suit the requirements of clients and projects. The information, assessment and evaluation strategies currently used by procurers for screening contractors are considered, and the results are reported of an extensive literature review and a Delphic interview study with a small select sample of construction professionals with extensive experience in prequalification and bid evaluation processes. The findings indicate that the most common criteria considered by procurers during the prequalification and bid process are those pertaining to financial soundness, technical ability, management capability, and the health and safety performance of contractors.

Do PPP’s work? What and how have we been learning so far?

Abstract: Both the public and private sectors have long histories, and governments have been mixing efforts with private businesses for thousands of years. So, despite our modern enthusiasm for private finan...