ChangeAerial

Excited to share that ChangeAerial has been awarded a National Science Foundation Grant to develop an AI model that integrates CNN single image date, and RSI enabled temporal anomaly detection models. Our IP portfolio is growing! We are a software and IP development company with deep domain experience, including >80 combined years in multi-temporal remote sensing. ChangeAerial's mission is to measurably improve detection of defects of infrastructure assets and enable accurate, frequent and scalable monitoring. We aspire to solve industry aerial inspection challenges, delivering tools that leverage our existing and growing IP portfolio. Our RSI IP was developed through federal grant funding totaling > $3M and published in >30 journal articles. We have five issued US patents, a pending PCT, International filings and pipeline of IP. The synthesized benefits of an integrated model will mitigate the inadequacies of existing overhead aerial inspection AI models and detection practices enabling a shift from infrequent inspection to high confidence monitoring and prefault/defect detection. Further, ChangeAerial's high-accuracy temporal anomaly detection complements existing AI models by locating otherwise unknown defects that can subsequently be used to train and expand existing defect identification models.  Utilities recognize there are inherent flaws using single date AI models for defect detection and classification. Unknown numbers of untrained defects that cannot be detected dampen overall detection confidence. This confidence gap is presently mitigated through manual visual inspection that requires significant time of skilled workers, which undermines the intended benefits of automated analytics limiting productivity gains. With limited inspection capacity and detection confidence, the market is missing the right tools to do the job. RSI-enabled models provide catch-all detection. Any utility using single date models will be able to mitigate the known risks of missed detection through the integration/overlay of an RSI model.  To learn more, visit us at the Esri User Conference expo hall Startup Zone booth Z11 next week in San Diego, or contact us (info@changeaerial.com, www.changeaerial.com). https://www.nsf.gov/ Project Title: SBIR Phase I: Integrating deep learning algorithms for UAS-based infrastructure inspection: Path to fully automated, commercially viable and scalable monitoring #utilities #infrastructureinspection #anomalydetection

We're excited to announce that ChangeAerial, one of our Flink Partners, will be at the Esri User Conference 2024 from July 15-19! Visit ChangeAerial in the Startup Zone at booth Z11, where they'll showcase their cutting-edge ArcGIS-integrated software and patented Repeat Station Imaging (RSI) technology. Discover how aerial videos, captured via FlytBase’s drone autonomy software platform, can be autonomously uploaded to the ChangeAerial N-SPECT software for actionable inspection insights. Stop by ChangeAerial's booth and say hi if you're around! 👋 #drones #dronetech #autonomousdrones #droneautonomy #dronetech

Are you attending the ESRI user conference in San Diego? #EsriUC2024 The ChangeAerial team invites you to visit our booth in the Startup Zone at the 2024 Esri User Conference and attend our presentation, to hear about exciting developments with N-SUITE software tools and our business in general. We’ll be in booth Z11 of the Exhibitor Hall Tuesday July 16: 9 am – 6 pm, Wednesday July 17: 9 am – 6 pm, and Thursday July 18: 9 am – 4 pm. Our presentation will be Tuesday July 16: 3:10 – 3:30 in the Expo Startup Zone Theater. Looking forward to catching up with you! Currently publicly traded US utilities spend > $134 billion a year to maintain a $2 trillion asset base with few dollars going to drive modest growth. There are 3,000 utilities in the US operating 200K miles of transmission lines and 5.5M miles of local distribution lines, composed of 160M active distribution poles and transmission towers. Less than 10% of the grid is inspected annually and the grid is expanding. This inevitably leads to the harsh realities of unforeseen maintenance issues and missed defect detection, unmitigated hazards, loss of life, service outages, and higher operating costs Current approaches, even those incorporating AI models, deliver insufficient capacity and overall detection confidence needed to drive a step-change in productivity. While AI models have improved aerial inspection, they are applied to a single drone image, that do provide valuable classification benefits, but also endure challenges such as requirement of thousands of training images, inadequate detection accuracy, and an inherent problem of not being able to train on every possible variation of every possible defect. Unknown numbers of untrained defects that cannot be detected dampen overall detection confidence. This confidence gap is presently mitigated through manual visual inspection that requires significant time of skilled workers, which undermines the intended benefits of automated analytics limiting productivity gains. With limited inspection capacity and detection confidence, the market is missing the right tools to do the job. Come hear how #ChangeAerial uniquely tackles this industry wide challenge. #EsriUC2024 Doug Stow Lloyd (Pete) Coulter Dr. Andrew Christopher Loerch Contact: Andrea@changeAerial.com https://lnkd.in/ekFD4S7Q

Are you attending the ESRI user conference in San Diego? #EsriUC2024 The ChangeAerial team invites you to visit our booth in the Startup Zone at the 2024 Esri User Conference and attend our presentation, to hear about exciting developments with N-SUITE software tools and our business in general. We’ll be in booth Z11 of the Exhibitor Hall Tuesday July 16: 9 am – 6 pm, Wednesday July 17: 9 am – 6 pm, and Thursday July 18: 9 am – 4 pm. Our presentation will be Tuesday July 16: 3:10 – 3:30 in the Expo Startup Zone Theater. Looking forward to catching up with you! Currently publicly traded US utilities spend > $134 billion a year to maintain a $2 trillion asset base with few dollars going to drive modest growth. There are 3,000 utilities in the US operating 200K miles of transmission lines and 5.5M miles of local distribution lines, composed of 160M active distribution poles and transmission towers. Less than 10% of the grid is inspected annually and the grid is expanding. This inevitably leads to the harsh realities of unforeseen maintenance issues and missed defect detection, unmitigated hazards, loss of life, service outages, and higher operating costs Current approaches, even those incorporating AI models, deliver insufficient capacity and overall detection confidence needed to drive a step-change in productivity. While AI models have improved aerial inspection, they are applied to a single drone image, that do provide valuable classification benefits, but also endure challenges such as requirement of thousands of training images, inadequate detection accuracy, and an inherent problem of not being able to train on every possible variation of every possible defect. Unknown numbers of untrained defects that cannot be detected dampen overall detection confidence. This confidence gap is presently mitigated through manual visual inspection that requires significant time of skilled workers, which undermines the intended benefits of automated analytics limiting productivity gains. With limited inspection capacity and detection confidence, the market is missing the right tools to do the job. Come hear how #ChangeAerial uniquely tackles this industry wide challenge. #EsriUC2024 Doug Stow Lloyd (Pete) Coulter Dr. Andrew Christopher Loerch Contact: Andrea@changeAerial.com https://lnkd.in/ekFD4S7Q

We are back with another exciting interview from #NestGen Xpress season 3! We were joined by Lloyd (Pete) Coulter, Chief Operating Officer of ChangeAerial, a company focusing on drone-based infrastructure monitoring and lifecycle performance optimization. This episode dives deep into the world of infrastructure monitoring, where Pete addresses current concerns and challenges faced by the industry and remote drone operators and how ChangeAerial software enables dock operations. Furthermore, Pete discusses what advancements or developments he foresees in automated drone-based infrastructure monitoring, and the challenges we need to overcome as an industry. To watch the complete episode head over to: https://lnkd.in/gRwUpdtf #drones #droneautomation #dronetech #autonomousdrones

Thanks. We are delighted to be a #FlytBase partner joining the valuable growing Flink UAS ecosytem. #Changeaerial software exploits a patented repeat imaging approach to UAV inspection. Integrated into UAV operations the end-to end workflow helps solve unmet industry image acquisition and automated analytics challenges driving a step-change in productivity. Anomaly detection between uniform images taken from passes at the same location in the sky over time overcomes the performance constraints of single date models enabling greater capacity and accuracy. Increased capacity, detection accuracy and reduction in OpEx support a shift from the current state of infrequent, one-time inspections to high frequency flexible monitoring helping to mitigate the harsh realities of missed pre/fault and defect detection through autonomous scalable expert-in-the-loop aerial inspection. Reach out to us at info@Changeaerial.com #drones #droneautomation #droneautonomy #flinks #dataprocessing