Percepto Launches Next-Generation Inspection Software
For energy companies, producing actionable data is almost as important as the production of millions of cubic feet of natural gas or megawatts. Representatives of oil and gas firms and electric utility companies in attendance at this week InnovateEnergy Week conference in The Woodlands, Texas, were anxious to learn all the new technologies to collect and process vast volumes of data and how to make use of them throughout their organization operations.
One technology provider with a solid customer base in the energy industry, this week announced an expansion of its data-collection services. Philip Rogers, Percepto vice president of strategic accounts, stated that the company next big advancement comes on the software front, by increasing the capabilities of Percepto proprietary Autonomous Inspection: Monitoring (AIM) software, which enables remote infrastructure inspection and analysis.
Human-Level Logic in Drone Autonomy
Percepto next generation brings human-level inspection logic into autonomy, enabling operators to capture the right data, connect it to the right asset, and deliver reliable outcomes that teams can act on at scale. The software allows energy companies to integrate data collected from Percepto drone-in-a-box solution straight into their active workflows. It does not have to just be data from a drone: it can be other types of data sets, including static cameras and satellite information.
The technology allows customers to consolidate all of their information into a single centralized location, instead of just having data living in a cloud somewhere. The platform combines next-generation Percepto Air drones, inspection-grade onboard autonomy, contextual AI, AIM asset intelligence, and managed remote operations to deliver trusted outcomes at scale.
Scale and Accuracy in the Field
Rogers said most of the requests that Percepto receives from its customers involve designing a system that can manage and inspect their infrastructure assets at scale. The company is able to do inspection frequencies at a much higher rate than the legacy of a person in a truck. It is really replacing that model of people in the field, with people driving for hours and putting themselves at risk, where the drone can live in the field and do the inspections for them, at a much higher frequency and at a much better accuracy.
The idea is not to replace the workers in the field, but to optimize their time so they can provide more value to their employer. Instead of finding the problems, they are now just fixing the problems. During a study with Chevron, field teams saw a 52% savings in time allocation deploying the system, allowing workers to be significantly more productive.