In an era where technology is advancing at breakneck speed, staying ahead of the curve requires visionary leadership and a deep understanding of emerging trends. Recently in an exclusive interview with James Wormald from Electro Optics, Bobbie Kalra, Founder and CEO of Magnasoft, shared his insights on how technological innovations are transforming industries, from urban planning to emergency response. They discussed the impact of modern sensors, the rise of automation, and how advancements, once deemed complex, are now accessible through everyday consumer technology, and much more. We’ve got the summary of this conversation to offer a unique perspective on the future of technology and its role in shaping a smarter, more connected world. Let’s read on!
Bobbie H. Kalra: Magnasoft has evolved alongside advancements in photonics sensor technology, starting with remote sensing, moving to aerial imaging, and progressing to aerial lidar, mobile lidar, laser scanning, and terrestrial lidar. We’ve provided data management services and generated valuable insights for markets like telecom, utilities, and ESG land infrastructure. Our goal has always been to empower our clients – typically large enterprise software companies – with data-driven insights for better decision-making.
We’re now focusing on design, audits, rework, brownfield, and greenfield design work using these technologies. For example, in telecom, fiber broadband is a big deal, especially in the US, where $50 billion has been allocated to achieve broadband equity between rural and urban areas. We’re working on fiber-to-home (FTTx) projects, both underground and aerial, from a design perspective.
Bobbie H. Kalra: Traditionally, data collection in telecoms and other industries relied heavily on surveys and manual optimization. However, lidar technology and imaging drones have transformed the process. We can now create highly accurate base maps, which are central to design systems. Using mobile lidar and drones, we gather precise data, including features like manholes and street furniture, which are critical for infrastructure projects like those managed by the Department of Transportation.
For the 5G rollout, we are contracted with some of the major tower companies to check their health and capacity, where we are creating digital twins of towers to assess their capacity and health, using high-resolution imaging to identify cracks and structural issues. These digital twins allow us to extract bills of materials and conduct structural analysis, eliminating the need for manual tower inspections.
Bobbie H. Kalra: In the utility sector, we’ve mapped close to one million miles of transmission and distribution lines using lidar technology. One significant project in the UK involved mapping and maintaining utility corridors to prevent blackouts caused by vegetation. We accomplished some impressive work, initially using LiDAR technology, which was quite costly to deploy via air. In the second year, we used LiDAR data as a reference point but relied on high-resolution images to perform a process known as pixel-to-point. This allowed us to extract point clouds from mesh models, enabling us to assess the entire corridor’s data. We achieved up to 85% accuracy in predicting areas where vegetation would grow and identifying high-risk zones. Now, in the fourth year, we’ve further developed the technology by incorporating AI and machine learning tools, along with training data sets, to forecast where field teams need to focus their vegetation inspections.
We’ve transitioned into laser scanning and frequently work within the AEC (architecture, engineering, and construction) sector. One notable project in Europe involved mapping over 200 schools, driven by an ESG mandate, as the European Union required audits of many government buildings. By leveraging laser scanning and LiDAR technology, we compiled datasets and conducted material surveys. These were then utilized to model occupational hazards and assess materials from a LEED certification standpoint. The project covered nearly 12 million square meters, a significant undertaking that required deploying multiple sensors to complete the task.
Bobbie H. Kalra: Over the past year, we have been actively involved in projects across Hungary and the Netherlands, primarily working on government buildings. A significant portion of our efforts has been focused on understanding the application requirements from an ESG perspective. This includes analyzing data such as the number of occupants per square foot, the presence of children, and evaluating the carbon footprint and environmental impact, not just within the school grounds but also in the surrounding areas.
We utilized LiDAR data to develop digital terrain models (DTMs) and Digital Elevation Models (DEMs), which helped us map the surrounding green ecosystems. This data will be used by agencies to categorize the buildings, determining which should be demolished, which can be refurbished, and which are in good condition. We’re now part of this mandate, applying various technologies to support the process.
Similarly, in property management, we’ve mapped the entirety of London with an accuracy of 15cm. This marks our eighth consecutive year of this project, where we’ve employed photogrammetry, oblique imagery, and laser technology to perform multi-polygonal measurements. These measurements are used for purposes such as Right of Light surveys, wind and solar analysis, and building DEM models for flood simulation assessments. So far, we’ve completed similar work in 23 cities globally, using a range of imaging and LiDAR technologies while developing our own AI-powered tools, algorithms, and training data sets to help cities make informed decisions.
Another noteworthy project we recently completed in the U.S. involved impervious mapping. With increasing instances of flooding, we used imaging, material libraries, and custom systems to map impervious areas within cities. This allows for better emergency response planning during periods of heavy rainfall. In addition, we’ve been involved in creating building footprints and rooftops for solar assessments and site analyses.
Bobbie H. Kalra: The formats we work with are certainly diverse. When data is ingested from different sensors, it undergoes significant transformation. Some might rely on just one type of map for data ingestion, which can lead to challenges with interoperability. This often requires expensive third-party tools, and even then, the output might not be user-friendly. However, with the rise of open-source solutions, we’re seeing much more interoperability. There’s a growing trend in the market towards adopting open and common data formats, and many startups are driving this change. For instance, we use open-source technology for mesh modeling, training data sets, TensorFlow, and similar applications. The industry is clearly evolving from the formats it used in the past.
One fascinating project we’re working on in Paris and Sweden, for example, completely skips an entire step in the traditional data modeling process. This project focused on the oil and gas industry and process industries, involves scanning mechanical, electrical, plumbing, and piping components. We can annotate and tag these components using open-source platforms. By comparing the scanned components to existing data sets, such as bills of materials, we can perform analysis without needing multiple formats for data modeling.
In the imaging sector, the traditional photogrammetry industry was once dominated by large government RFPs and mapping agencies that flew across regions for data collection. Now, product companies are conducting these flights year-round. You can purchase these images off-the-shelf, and platforms like AWS enable easy processing. This open-source data is being utilized for applications such as change detection, which cities and countries depend on. For example, if a swimming pool is built and needs to be taxed, change detection tools can now process the data without needing to capture it through costly flights or rely on non-compatible formats like ESRI. Today, interoperability is becoming the norm.
Bobbie H. Kalra: Over the past decade, I’ve witnessed significant changes and disruptions within the industry. This can be broken down into three key areas: the sensor capture technology, the data processing aspect, and the way the data is utilized. One of the biggest challenges is managing the vast amount of data—ranging from gigabytes to petabytes—which increasingly requires cloud solutions. We’re collaborating with governments and schools to provide high-resolution imaging and industrial-grade scanners.
On the other hand, we’re involved in an intriguing project with companies enabling customers to scan their own homes. This retail product allows users to scan their houses using an iPad or iPhone with time-of-flight technology. Whether for renovation or selling purposes, customers can take images of their homes, and within 24 hours, we can convert these into detailed CAD or Revit models. The entire process is self-service, integrated into the platform. This project encompasses all three aspects I mentioned—capturing, compressing, and processing data to create customized tools for the customer’s construction or design needs.
Bobbie H. Kalra: Exactly. By utilizing everyday devices and repurposing some existing technologies, we’re solving a lot of problems. For example, with drones and towers, we’re now able to manage 150 towers a day, which is a significant shift. As sensor technology advances, we’re seeing sensors become more affordable, leading to widespread disruption.
On the AI and machine learning front, especially with the use of computer vision and various algorithms, automation is rapidly taking over the classification and processing of data. While human oversight is still necessary—companies like ours add value by training data sets—it’s only a matter of time before the lower-level tasks become fully automated. As more specific use cases emerge, especially in imaging and lidar, we’ve already seen this trend gain traction. One example is roof reports. If you want to refurbish your roof, a report can now be generated within 24 hours—something that was once much more difficult.
We’re also engaged in R&D with a company focused on emergency response. With the increasing number of public shootings in North America, particularly in schools and colleges, current escape route systems are outdated. Typically, you’ll see basic 2D maps on walls or behind hotel doors, indicating “You are here,” but we can now use indoor 3D mapping and navigation systems to create more effective solutions in emergencies.
When it comes to emergency situations like a 911 call, police forces often lack immediate access to building data. But with current technologies, we are exploring ways to create ecosystems from this data to improve safety and emergency response. Additionally, we’re seeing exciting trends in connectivity and autonomous driving, working on point-to-point delivery systems, among other innovations. What was once considered academic rocket science is now available to everyday users through their smartphones.
As industries continue to innovate, the convergence of AI, machine learning, and sensor technology will drive even greater disruption and transformation. What once required specialized equipment and expertise is now being made accessible to the general public, pushing the boundaries of what’s possible. From enhancing safety through 3D mapping to simplifying home renovations with quick-turnaround roof reports, these technological advancements are not only improving efficiencies but also opening up new possibilities across sectors. The future holds exciting prospects as automation continues to rise, bringing revolutionary tools and solutions to the forefront of everyday life.
Note: This interview was originally published here.
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