The promotion of drones helps the city of Houston transition to becoming the energy 2.0 capital of the world, says this expert. Photo courtesy

The state of Texas, as well as the rest of the nation, has been intensely impacted by the effects of climate change as well as aging utility infrastructure. Innovative drone technologies help address the pressing inspection and mapping needs of utilities and other critical infrastructure across the country, primarily bridges and roads, railways, pipelines, and powerplants.

There is a significant need for high-precision inspection services in today's market. Additional work will result if the proposed infrastructure bill passes. The bill has $73 billion earmarked toward modernizing the nation's electricity grid. Drone —or UAS (unmanned aerial systems)— technological advances, including thermal imaging, LiDAR (light detection and ranging), IRR (infrared radiation and remote sensing), and AI/ML (artificial intelligence/machine learning) are applied toward determining and predicting trends and are instrumental toward making our country safer.

"The newest advances in drone technology are not so much in the drones themselves, but rather, in the sensors and cameras, such as thermal cameras. Technologies such as LiDAR are now more cost-effective. The newer sensors permit the drones to operate in tighter spaces and cover more acreage in less time, with higher accuracy and fidelity", according to Will Paden, president of Soaring Eagle Technologies, a Houston-based tech-enabled imaging company servicing utility and energy companies.

Paden anticipates growth in the use of the technology for critical infrastructure including utilities, pipelines, power plants, bridges, buildings, railways, and more, for routine and post-storm inspections

"[Soaring Eagle's] ability to harness UAS technology to efficiently retrieve field data across our 8,000+ square mile area is unprecedented. Coupling this data with post-processing methods such as asset digitization unlocked a plethora of opportunities to visualize system resources and further analyze the surrounding terrain and environment," says Paige Richardson, GIS specialist with Navopache Electric Cooperative. "Our engineering and operations departments now have the ability to view 3D substation models, abstract high-resolution digital evaluation models, and apply these newfound resources as they work on future construction projects."

The promotion of drones helps the city of Houston transition to becoming the energy 2.0 capital of the world. The UAS (unmanned aerial systems) technology offers an environmentally cleaner option for routine and post-storm inspections, replacing the use of fossil fuels consumed by helicopters. The use of drones versus traditional inspection systems is significantly safer, more efficient and accurate than traditional alternatives such as scaffolding or bucket trucks. Mapping and inspection work can be done at much lower costs than with manned aircraft operations. These are highly technical flights, where the focus on safety and experience flying both manned and unmanned aircraft, is paramount.

There is much work ahead in high-tech drone technology services, especially for companies vetted by the FAA with high safety standards. According to one study, the overall drone inspection & monitoring market is projected to grow from USD 9.1 billion in 2021 to USD 33.6 billion by 2030, at a CAGR of 15.7 percent from 2021 to 2030. North America is estimated to account for the largest share of the drone inspection & monitoring market from 2021 to 2030.

Paden predicts the use of machine learning/artificial intelligence (ML/AI) and data automation will continue to improve over the next 3-5 years, as more data is collected and analyzed and the technology is a applied to "teach it" to detect patterns and anomalies. He anticipates ML/AI will filter out the amount of data the end users will need to view to make decisions saving time and money for the end users.

Learn more at the Energy Drone & Robotics Summit taking place in The Woodlands on October 25 through October 27.

------

Alex Danielides is head of business development for Houston-based Iapetus Holdings, a privately held, minority and veteran-owned portfolio of energy and utility services businesses. One of the companies is Soaring Eagle Technologies.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”