At the 2022 World Artificial Intelligence Conference in Shanghai, Clobotics presented a connected view of AI in physical industries: robots and computer vision supporting wind turbine maintenance, while store intelligence helped brands understand retail execution.
GeekPark’s coverage focused on three developments: the first public appearance in China of Sparrow, Clobotics’ robotic system for wind turbine blade leading-edge repair; the upgraded IBIS 4.5 autonomous blade inspection system; and SmartView, the company’s computer vision and business intelligence solution for retail. The event showed how Clobotics was applying AI to work that takes place in turbines, factories, stores, and other physical environments.
Sparrow: robotic repair for leading-edge erosion
Wind turbine blades operate in demanding conditions. Wind, sand, rain, salt, and temperature changes can contribute to leading-edge erosion, cracks, and other surface damage. If these issues are not identified and repaired in time, they can affect blade performance, increase maintenance requirements, and contribute to unplanned downtime.
Sparrow was developed to collect blade defect data and carry out targeted leading-edge maintenance and repair. The system is designed to move part of a difficult, labor-intensive workflow from rope access and manual work toward a remotely operated robotic process. That makes the repair task more repeatable and gives wind operators a clearer path from defect detection to corrective action.
The 2022 appearance was an important product milestone. Sparrow was completing its latest round of repair testing and moving toward deployment. The story also connected repair to a broader wind operations problem: the earlier a manufacturer, service provider, or operator understands a blade risk, the more options it has to prevent the issue from affecting energy production.
IBIS 4.5: more consistent wind turbine inspection
Clobotics also presented an upgraded version of IBIS, its autonomous wind turbine blade inspection system. IBIS 4.5 focused on inspection algorithms and the drone payload system. The aircraft could automatically capture the turbine and plan its flight path, reducing the time and manual effort required for inspection.
Autonomous flight is important because wind turbine drone inspection is only useful when the data is complete, consistent, and suitable for analysis. A repeatable flight path helps the system capture comparable evidence across blades and turbines. Computer vision can then identify defects, while a digital platform preserves the findings for reporting, maintenance planning, and future comparison.
GeekPark reported that Clobotics’ flight teams were already using IBIS 4.5 across more than one hundred wind farms in China during the wind O&M peak season. This historical deployment illustrates a central requirement for industrial AI: the system must work in field conditions and support the operating teams responsible for the assets.
SmartView: computer vision for retail execution
The WAIC showcase also included Clobotics’ retail solutions. SmartView combined AIoT cameras, computer vision, image recognition, and business intelligence to help brands understand product and merchandising conditions in stores.
The system could monitor questions such as whether product placement met expectations, whether share of shelf was sufficient, how competitor products were performing, and whether store conditions supported the intended campaign. In a modern retail execution workflow, this type of evidence can support on-shelf availability, planogram compliance, price and promotion checks, and more targeted field actions.
The exhibition also featured a connected smart cooler concept that combined a display screen, customer-presence sensing, and product merchandising information. The underlying idea was to connect shopper attention, shelf conditions, and business data rather than treat retail equipment as an isolated display.
One operating principle across wind and retail
The wind and retail applications look different, but they share the same sequence:
Capture -> Analyze -> Identify risk or opportunity -> Support action
In wind, the evidence may show leading-edge erosion, a crack, or another blade condition that requires maintenance. In retail, it may show an out-of-stock product, a weak share of shelf, an incorrect price, or a display that does not meet the campaign standard.
In both settings, the value of AI depends on the workflow around the model. Data must be captured in the right context, interpreted with domain knowledge, and delivered in a form that helps an operator, field team, or manager decide what to do next.
Why the 2022 showcase still matters
The event marked a point in Clobotics’ development from individual computer vision applications toward connected physical AI systems. Sparrow extended the workflow into robotic blade repair. IBIS made wind turbine inspection more autonomous and repeatable. SmartView connected retail image capture with store-level intelligence.
The underlying goal remains practical: make physical operations visible, turn observations into trusted data, and help teams act before a small issue becomes a larger operational or commercial problem.
Read the original GeekPark coverage for the full 2022 event report.
Editorial source: GeekPark, published September 5, 2022. This article summarizes the historical coverage and uses current product terminology where relevant; it does not represent every product status or deployment claim as current.
