Scan3D Group

𝗢𝘂𝗿 𝗳𝗶𝗿𝘀𝘁 𝗣𝗿𝗼𝗽𝗧𝗲𝗰𝗵 𝗖𝗼𝗻𝗻𝗲𝗰𝘁. 𝗔𝗻𝗱 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗲𝗹𝘆 𝗻𝗼𝘁 𝗼𝘂𝗿 𝗹𝗮𝘀𝘁.

Last week, Szymon Bloch, CEO of Scan3D Group, together with Monika Filusch from Frescon, joined PropTech Connect Europe in London.

More than 6,000 real estate leaders, 2,500+ companies, 400+ speakers and 9 stages made one thing very clear:

𝗣𝗿𝗼𝗽𝗧𝗲𝗰𝗵 𝗶𝘀 𝗺𝗮𝘁𝘂𝗿𝗶𝗻𝗴.

The conversation is moving away from technology simply being “innovative”. Today, the questions are much more practical: How does technology improve asset performance? How does better data support investment and operational decisions? How can AI move from experimentation to measurable results?

This is also very close to what we see in our own projects.

3D scanning, BIM, digital twins or asset platforms are not the final goal. The real value starts when accurate information about a building becomes accessible, structured and useful for the people who manage, redesign and invest in it.

For us, PropTech Connect was much more than a technology conference. It was an opportunity to compare what we are building at Scan3D Group with the direction in which the international real estate market is moving. 🏙️

𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗿𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 𝘄𝗶𝗹𝗹 𝗯𝗲𝗹𝗼𝗻𝗴 𝘁𝗼 𝘁𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝗰𝗮𝗻 𝘁𝘂𝗿𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗯𝗲𝘁𝘁𝗲𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀.

See you next year, London. 👋

𝐍𝐨𝐭 𝐞𝐯𝐞𝐫𝐲 𝟑𝐃 𝐬𝐜𝐚𝐧𝐧𝐢𝐧𝐠 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐬𝐭𝐚𝐫𝐭𝐬 𝐛𝐲 𝐬𝐞𝐭𝐭𝐢𝐧𝐠 𝐮𝐩 𝐭𝐡𝐞 𝐬𝐜𝐚𝐧𝐧𝐞𝐫. Sometimes, the first step is designing the entire measurement strategy.

Working inside a confined space with a large radius and highly repetitive curved geometry provides very few clear reference features. Yet every scan still needs to become part of one consistent and controlled dataset.

That made scanner positioning, reference planning and the connection between consecutive measurements a key part of the engineering work. 🔍

The geometry was also captured at two different stages. 𝐁𝐨𝐭𝐡 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 𝐡𝐚𝐝 𝐭𝐨 𝐛𝐞 𝐭𝐫𝐮𝐥𝐲 𝐜𝐨𝐦𝐩𝐚𝐫𝐚𝐛𝐥𝐞 so that the final analysis reflected actual geometric changes.

Technology matters in projects like this. But what matters even more is 𝐡𝐨𝐰 𝐭𝐡𝐞 𝐞𝐧𝐭𝐢𝐫𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐦𝐞𝐧𝐭 𝐢𝐬 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝.

𝐋𝐚𝐫𝐠𝐞 𝐬𝐢𝐭𝐞. 𝐋𝐨𝐭𝐬 𝐨𝐟 𝐝𝐚𝐭𝐚. 𝐎𝐧𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐩𝐢𝐜𝐭𝐮𝐫𝐞.

When a site covers a large area, the challenge is simple: how do you capture enough information quickly without losing the detail needed for further work?

Drone photogrammetry gives us exactly that. 📸

We can efficiently capture the entire area, combine the results with GPS measurements and place the dataset within the required coordinate system.

The result is a 𝐝𝐞𝐭𝐚𝐢𝐥𝐞𝐝, 𝐩𝐡𝐨𝐭𝐨𝐫𝐞𝐚𝐥𝐢𝐬𝐭𝐢𝐜 𝟑𝐃 𝐦𝐨𝐝𝐞𝐥 that can be used long after the fieldwork is finished.

Measurements, analyses, design work, comparisons or future project stages can all start from the same reliable digital base.

That is the real value of good survey data: 𝐜𝐚𝐩𝐭𝐮𝐫𝐞 𝐢𝐭 𝐨𝐧𝐜𝐞, 𝐮𝐬𝐞 𝐢𝐭 𝐚𝐠𝐚𝐢𝐧 𝐚𝐧𝐝 𝐚𝐠𝐚𝐢𝐧. 💡

What if you could return to a transformer station without physically going back there? 👀

That is one of the practical advantages of 3D scanning.

Power infrastructure needs to remain operational, and access to some areas may be limited or require careful coordination. Capturing the existing geometry in 3D gives teams a digital reference they can return to later, without relying only on photographs, drawings or individual measurements.

A point cloud and mesh model make it possible to explore the asset, understand its spatial layout and use the data in future analysis or design work.

And that is where the value becomes much bigger.

𝐓𝐡𝐞 𝐬𝐮𝐫𝐯𝐞𝐲 𝐜𝐚𝐧 𝐛𝐞𝐜𝐨𝐦𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐥𝐚𝐲𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐚𝐬𝐬𝐞𝐭, ready to be developed further and potentially used as a foundation for a digital twin.

𝐀 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐢𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐚𝐬-𝐛𝐮𝐢𝐥𝐭 𝐝𝐚𝐭𝐚.

Railway stations are complex facilities, with numerous spaces, connections and geometric details that need to be captured consistently. For this survey, we used stationary laser scanning with the Leica RTC360.

The result is a 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐩𝐨𝐢𝐧𝐭 𝐜𝐥𝐨𝐮𝐝 representing the current condition of the building. This dataset now serves as the basis for the next stage of our work, the development of the 3D model.

For designers, this means working with measured geometry rather than assumptions. The point cloud can be revisited digitally, analysed whenever additional information is required and used to reduce the need for supplementary site measurements.

𝐁𝐞𝐭𝐭𝐞𝐫 𝐢𝐧𝐩𝐮𝐭 𝐝𝐚𝐭𝐚 𝐜𝐫𝐞𝐚𝐭𝐞𝐬 𝐚 𝐦𝐨𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲 𝐧𝐞𝐱𝐭 𝐝𝐞𝐬𝐢𝐠𝐧 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧.