Concept of Generative AI

Generative AI: Propelling ConTech Ecosystem with Video Analytics

How ChatGPT Can Become a Breakthrough Innovation in Construction Industry?

Executive Summary

Generative AI is considered a breakthrough in the field of Artificial Intelligence because it allows machines to create new and original content that was previously only possible for humans to create. This type of AI technology can generate texts, images, music, and even videos that are not just random but can also mimic human creativity. The technology has gained attention after ChatGPT has created a buzz in the market. The current whitepaper attempts to showcase the usability of Generative AI and video analytics together for further enriching the ConTech ecosystem. Therefore, the whitepaper answers the following questions

What is the idea behind Generative AI?

How Generative AI can add value to entire lifecycle of an infrastructure?

How video analytics & Generative AI together can boost traditional construction monitoring?

What are the possible applications of ChatGPT in ConTech ecosystem?

How Generative AI can help establish better communication and transparency during the construction process?

The report highlights that Generative AI along with video analytics has the potential to transform construction monitoring by providing real-time insights and predictive analytics that can improve the efficiency, safety, and quality of construction projects. It has tremendous ability to revolutionize construction monitoring by providing unprecedented levels of visibility, efficiency, and intelligence that can enhance project outcomes and deliver value to all stakeholders.

ChatGPT which is an Artificial Intelligence language model developed by OpenAI can also be utilized in construction in various ways to improve project outcomes, enhance productivity and provide better customer service and support. The report successfully decodes that by leveraging the power of natural language processing and machine learning, construction professionals can gain real-time insights and make informed decisions that can improve overall project success, especially with the updated version ChatGPT-4. Its visual prompts can augment traditional safety and productivity in construction jobsites through integration with AI video analytics.

Therefore, the whitepaper is an overview on future scope of Generative AI to develop meaningful innovation in the field of construction technology.

Generative AI: A Breakthrough

Generative AI is a rapidly evolving field of Artificial Intelligence that involves using Machine Learning algorithms to create new data or content. This technology has the potential to revolutionize many industries, from entertainment and design to healthcare and finance. At its core, Generative AI involves training a model on a dataset and then using that model to generate new data that resembles the original. This process typically involves using neural networks, which are designed to learn patterns and features from large amounts of data.

One of the most popular types of Generative AI models is the Generative Adversarial Network (GAN). GANs consist of two neural networks: a generator network and a discriminator network. The generator network creates new data, while the discriminator network evaluates whether the data is real or fake. Through an iterative process, the generator network learns to create more realistic data while the discriminator network becomes more accurate at distinguishing between real and generated data. One of the most exciting applications of Generative AI is in the field of creative design. For example, Generative AI models can be used to generate unique clothing designs, architecture designs, or even artwork. These designs can be used for everything from advertising and marketing to actual product creation. In the entertainment industry, Generative AI has been used to create music and video content. For example, musicians can use Generative AI to create new melodies and beats, or to generate backing tracks for their songs. Similarly, filmmakers can use Generative AI to create new visual effects or to generate realistic crowd scenes for their movies. Generative AI also has applications in the healthcare industry. For example, Generative AI models can be used to create new drug compounds, to predict the efficacy of different treatments, or to generate new medical images for diagnosis.

Despite its many potential benefits, Generative AI also raises important ethical concerns. For example, Generative AI models can be used to create deepfakes or other forms of misleading or harmful content. As with all advanced technologies, it is important to use Generative AI responsibly and to consider the potential impacts on society as a whole. In conclusion, Generative AI is an exciting and rapidly evolving field with many potential applications in a wide range of industries. As this technology continues to develop, it will be important to consider the ethical implications and to use it responsibly for the betterment of society.

Generative AI: Adding Wings to Construction Technology

Generative AI is a technology that has the potential to revolutionize the construction industry. With its ability to learn patterns and features from large datasets and generate new content based on that learning, Generative AI can be used in many aspects of construction to optimize building design, reduce costs, and increase efficiency.

Generative AI in the Construction Phase

Generative AI in Design Phase of Construction

With the help of Generative AI algorithms, architects and engineers can generate a vast number of design options quickly and easily.

These designs can be optimized for factors such as material efficiency, structural integrity, and energy consumption.

By rapidly generating and analyzing different design options, Generative AI can help construction professionals arrive at the most efficient and cost-effective design solutions.

Generative AI algorithms can be used to optimize the placement and movement of heavy machinery on a construction site, ensuring that work is carried out as efficiently as possible.

Similarly, Generative AI can be used to optimize the scheduling of workers and equipment, minimizing delays and maximizing productivity.

By analyzing large datasets of safety incidents and near-misses, Generative AI algorithms can identify patterns and trends that may not be apparent to human observers. This information can then be used to develop predictive models that can help construction companies anticipate and prevent safety incidents before they occur.

Generative AI for Post- Construction Maintenance

Generative AI can be used for optimizing the maintenance and upkeeping of buildings. By analyzing large datasets of building performance data, Generative AI algorithms can identify patterns and trends that indicate potential maintenance issues. This information can be used to develop predictive maintenance schedules, ensuring that maintenance is carried out proactively rather than reactively.

How Generative AI & Video Analytics Can Augment Traditional Monitoring in Construction Sites?

Generative AI can potentially be used for monitoring construction sites to improve safety, quality control, and project management. By analyzing data collected from sensors, cameras, and other sources, Generative AI algorithms can provide real-time insights that can help construction professionals make informed decisions and improve project outcomes.

Safety Monitoring

Quality Control

Environmental Monitoring

Project Management

Equipment Monitoring

Safety Monitoring: Generative AI can be used to monitor workers’ behavior and detect potential safety hazards on construction sites. For example, the system can monitor workers' movements and alert them if they are standing too close to moving machinery or vehicles. The system can also detect and alert workers if they are not wearing proper personal protective equipment (PPE) such as hard hats, safety glasses, or gloves.

Quality Control: Generative AI can be used to monitor construction work and detect defects or anomalies. The system can analyze images and data collected from sensors and cameras to detect deviations from design specifications or quality standards. The system can also alert workers of potential issues in real-time, allowing them to take corrective actions before the problem escalates.

Project Management: Generative AI can be used to monitor the progress of construction projects and optimize workflows. The system can analyze data on workers’ productivity, equipment utilization, and other key performance indicators to identify areas where improvements can be made. The system can also generate reports and alerts to project managers, helping them make informed decisions and stay on top of project timelines and budgets.

Environmental Monitoring: Generative AI can be used to monitor environmental factors that may impact workers’ health and safety on construction sites. The system can analyze data from sensors and cameras to detect changes in air quality, temperature, humidity, and other environmental factors. The system can also generate alerts if environmental factors exceed safe limits, allowing workers to take necessary precautions.

Equipment Monitoring: Generative AI can be used to monitor the condition and performance of construction equipment. The system can analyze data from sensors and cameras to detect equipment malfunctions, predict equipment failures, and optimize equipment maintenance schedules. This can help minimize downtime and improve overall equipment performance.

Probing Generative AI: The Utilitarian Scope of ChatGPT in Construction

ChatGPT can be used in construction in various ways to improve project outcomes. ChatGPT-3 can solve the biggest hurdles in collaborating with internal and external project stakeholders who always wait for information. Project stakeholders, who may have their own timeline and priorities, may not always be able to provide the required information in a timely manner. As a construction task cannot begin until the information becomes available, it can delay the project schedule and increase costs. A ChatGPT-3 has potential to reduce the waiting time by providing answers to questions and streamlining communication among project parties, enhancing collaboration in the construction industry. Thus, ChatGPT-3 can establish transparency and connectivity in the construction ecosystem in the following manner:

Virtual Assistant for Project Management

ChatGPT can be used as a virtual assistant to help project managers with tasks such as scheduling, budgeting, and resource allocation. The system can provide real-time updates on project status, generate reports, and answer questions from project team members.

Customer Service & Support

ChatGPT can be used to provide customer service and support to construction clients. The system can answer questions, provide updates on project status, and provide guidance on construction-related issues. This can help improve customer satisfaction and loyalty.

Training and Education

ChatGPT can be used to provide training and education to construction workers. The system can answer questions, provide guidance on construction procedures, and offer interactive simulations to help workers learn and practice new skills.

Extra Edges with ChatGPT-4 Visual Prompt

The most noticeable change in the upcoming version of ChatGPT-4 is that it is “multimodal,” meaning it can understand more than one “modality” of information. ChatGPT and GPT-3 were limited to text: they could read and write but that was about it (though more than enough for many applications). GPT-4, however, can be given images and it will process them to find relevant information. This can boost the use of conventional AI in construction in the following manner.

Safety Guidance & Post alert action briefed by ChatGPT-4

Detected by conventional

Image of construction by onsite cameras

Key Insights of the Report

Generative AI refers to a subset of Artificial Intelligence that involves using algorithms and models to generate new data or content that is similar to, but not identical to, existing data. The technology behind Generative AI is based on deep learning neural networks, specifically, a type of neural network known as a generative adversarial network (GAN).

Generative AI has the potential to transform construction monitoring by providing real-time insights and predictive analytics that can improve the efficiency, safety, and quality of construction projects.

Generative AI has the potential to revolutionize construction monitoring by providing unprecedented levels of visibility, efficiency, and intelligence that can enhance project outcomes and deliver value to all stakeholders.

Generative AI can enable better collaboration and communication among stakeholders in construction projects by providing a centralized platform for data sharing and decision-making. For instance, project managers can use generative AI to generate automated reports and dashboards that provide real-time insights into project status, risks, and opportunities.

ChatGPT-3 can also be used in construction in various ways to improve project outcomes, enhance productivity and provide better customer service and support. By leveraging the power of natural language processing and machine learning, construction professionals can gain real-time insights and make informed decisions that improve overall project success.

ChatGPT-4’s visual prompts can augment tradition safety and productivity of the construction jobsites through integration with AI Video Analytics.

About viAcT

viAct is a leading ESG-focused AI company that provides “Scenario-based Vision Intelligence” solutions for the AEC industry across Asia, Europe & Middle East. With hundreds of deployments since its inception in 2016, viAct’s proprietary AI algorithms have evolved successfully providing extremely granular insights in jobsites by transforming vision to practical actions. Our 30+ pre-built AI modules enable the stakeholders to reduce the number of accidents, optimize costs and track environmental non-compliances.

As a “2020 Top 50 Global ConTech Startup by CEMEX Ventures” & “Forbes Asia 100 To Watch 2022”, viAct’s disruptive AI navigation solution is one-of-a-kind approach to manage man-made environments in a far smarter way than humans do!

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ACKNOWLEDGEMENTS

& Co-Founder viAct hc@viact.ai

Marketing and Public Relations Lead viAct surendra.singh@viact.ai

We acknowledge all the sources from which the data has been collected for preparation of this report. Apart from this, we acknowledge the efforts of the following in conducting the literature survey and preparing this report:

Author

Dr. Baby Sharma Research & Strategy Manager

baby.sharma@viact.ai

Co-Author

Ms. Barnali Sharma Digital Marketing Manager viAct

barnali.sharma@viact.ai

This document does not constitute professional advice. The information in this document has been obtained or derived from secondary sources and have been compiled by viAct. Even though the data used for the report is believed to be reliable but viAct do not claim information to be accurate or complete. Any opinions or estimates contained in this document represent the judgment of viAct at this time and are subject to change without notice. Readers of this publication are advised to seek their own professional advice before taking any course of action or decision, for which they are entirely responsible, based on the contents of this publication. viAct neither accepts or assumes any responsibility or liability to any reader of this publication in respect of the information contained within it or for any decisions readers may take or decide not to or fail to take.