The New Smart Reconstruction That You Have To Know
Dr. Aaron Qin, CEO of Manifold Tech Limited

The New Smart Reconstruction That You Have To Know

Dr. Youming Qin | 20 Jan 2023

EVOLUTION IN CONSTRUCTION

In the modern world we are living in, the three most money-making industries are smartphones, mobile vehicles, and real estate. Among the three, the real estate industry is the largest in size, scale, and cost. The industry’s advantage and winning potential are why more market players join and introduce new revolutions and strategies to improve the industry. When we are solving some industry problems, we should look at the root of it, and in this case, smart reconstruction is the solution to the fundamental part of building real estate.

WE NEED THE BEST KIND OF SOLUTION

It is becoming more common for companies to adopt smart constructions when building properties, by incorporating digital technologies into building design, construction, and operation. Hence, increasing accuracy, efficiency, and sustainability in the long run of real estate construction stage.

Digitalization in the real estate industry is extremely useful and necessary for further development. The industry is famous for having a long production chain with complicated working progress starting from the planning of the construction stage. The amount of data involved is massively broad and complex. Therefore, building information is less transparent and only continues to be complicated.

To increase the efficiency in real estate, fast digitizing can be adopted for data in order to increase transparency, hence achieving digitizing planning and shortening the working process chain by minimizing unnecessary stages. When all settings can be planned and monitored easily, problems can be spotted and inspected more timely, with the convenience of checking updates on construction progress.

From the result, after data digitizing, it all seems perfect. Then why is it yet to be fully adopted in the industry?

THE MARKET CHANGING CANDIDATE HAS APPEARED

Though everyone everywhere is trying to digitize their industry and adopt technologies to improve efficiencies in order to keep up with the steps of the advancing world, there is always one major factor we are concerned about that makes us step back, the financial factor.

Same for the real estate industry, it is still costly to implement technologies into their working process. Suppose they have to pay a large amount of money to use a new technology that requires complementary staff training costs to use the latest technology. So, why not just stay the same and stick with the traditional routine?

We now know that we need a technology that is good, fast, and cheap for the change.

Manifold Tech Limited, one of the Hong Kong Science Park Incubation Programme startups, is proudly introducing its product that solves just the three mentioned things, good, fast, and cheap. Using the fast 3D reconstruction and software service product for the real estate field as a BIM and smart reconstruction PropTech is beneficial and influential to the real estate automation goal.

Their product is 5th generation technology at AI and 3D reconstruction, which won First in algorithm framework at the Hilti SLAM Challenge twice in a row. The founders are from the HKU MaRS Lab, which aims to implement general mechatronic systems and robotics into practical, real-life use.

Though governments are always talking about digital twin, if the technologies continue to be overpriced and complicated, businesses may need more time to adopt them, and digital twin may continue to be an ideal, not a reality.

Manifold’s technology can generate real estate scanning results immediately with real-time feedback. It is independent of light and texture, and the GPS can work even indoors, solving many pain points of similar products in the market, for example, not being able to scan the building at night or insufficient lighting. Instead, Manifold provides a lower cost of efficient and easy-to-use software that can be installed on your phone anytime. The product can also be easily used inside smartphones, improving convenience and user experience, and eliminating the necessity of purchasing a large device.

The construction stage does not require a complex and time-consuming scanning process anymore. There is no need to go to every corner in person to scan all the details inside the building, from pipes to every electric wire. The smart reconstruction technology only needs a few minutes to scan, being even more accurate and efficient than its competitors.

THE PASSIONATE PROBLEM-SOLVER

The convenient and affordable price product aims to serve more than just the real estate’s developers but also individual users. Manifold allows itself to do something other than B2B, owning the advantage of being affordable, available, and handy. They are enthusiastic about making it B2C as well.

Not only does it shine in physical real estate, but this PropTech can also contribute largely to metaverse building. With its accurate and real-time feedback, it enables metaverse creators, no matter if they are individuals or corporates, to eliminate complex building processes.

If we want to make the city and the world’s real estate industry evolve quickly, adopting PropTech is unavoidable, we should start from the bottom, from the planning and construction stage, and maybe smart reconstruction is the solution. ■


THE AUTHOR

Dr Aaron Qin is the CEO of Manifold Tech Limited . He has over 5 years of experience in R&D and management field of robotics and drones, with many articles published in top journals such as T-Mech and RA-L. Dr Qin is PhD of HKU MaRS LAB and was the winner of the 2018 DJI ICRA AI Challenge. He is passionate in promoting fast-digitizing and 3D smart reconstruction technology in the real estate industry.


Disclaimer: The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official position of Proptech Institute, including its directors, employees and affiliates.

PropTech Institute | https://www.proptechinstitute.org/ | [email protected]

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