Optelos

Canvas Category Software : Information Technology : Asset Performance Management

Website

Primary Location Cedar Park, Texas, United States

Financial Status VC

Optelos software helps Enterprises solve the industrial data challenges for the as-built world. We are focused on creating the world’s best user experience for working with visual data, one that empowers people to do more with that data and answer complex questions through connected intelligence. Our patented software helps customers take unstructured data and turn it into actionable insights by contextualizing, analyzing, and visualizing it in impactful ways to make smarter decisions. Optelos allows Enterprise’s to lower inspection costs while increasing safety, speed and accuracy of inspections spanning oil/gas, manufacturing, agriculture, energy, telecom and virtually any other market segment where asset inspection is required.

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Upgrading Safety Asset Planning and Incident Investigations with Digital Twins

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πŸ”– Topics: Worker Safety, Digital Twin

🏒 Organizations: Optelos


Using the Optelos Safety Asset Planning capabilities with digital twins, facilities can more effectively manage the placement and oversight of safety equipment, create turnaround safety plans, investigate incidents, and more easily and effectively present safety data to leadership and employees.

Recent technology developments put significant safety improvements and risk reduction within reach. The powerful combination of drone data collection, digital twin reality models, and visual data management can enhance site safety and reduce risks to personnel through geolocation of safety-related assets in a digital twin model, enabling visualization of safety and incident response data.

Read more at Optelos Blog

Streamlining Cell Tower Inspections and Site Assessments with Visual Data Management

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πŸ”– Topics: Asset Performance Management, Visual Inspection, Digital Twin

🏒 Organizations: Optelos


Tower owners, operators, and contractors are turning to new visual data management solutions to provide the accurate and reliable data needed to support efficient cell tower maintenance and technology rollout programs. The availability of accurate and up-to-date site assessment data streamlines operations, enhances decision-making, and significantly reduces operational costs. By leveraging new visual data management systems such as Optelos in combination with drone data collection, 3D digital twin point cloud models and AI technologies, companies in the telecom industry are revolutionizing the process for how to inspect, manage and maintain their tower assets, yielding significant cost savings and operational efficiencies.

RF engineering can use the digital twin models to verify the RF design was properly implemented and built to specification (antenna placement & orientation of the RAD center). The RAN group can evaluate the impact of the overall network and performance for each individual cell tower. The ability to house all CAD drawings, 3D models, shelter photos, inventory, inspections and other required documents in one location can speed up collaborative work dramatically. One major telecom provider reported that site assessment team meetings were now 60% shorter, and decisions were made in the meetings, versus leaving the meeting with a series of β€œgo gets” for required information.

Read more at Optelos Blog

Drone Powerline Inspection

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πŸ”– Topics: Condition-based Maintenance

🏒 Organizations: Optelos


While the quest for operational efficiency is driving drone powerline inspection adoption, the true innovation lies in what happens after the data capture with AI/ML data processing. To realize the full benefits of drone powerline inspection, computer vision AI/ML algorithms are utilized to automatically analyze the massive quantity of raw visual image data to classify assets and identify predetermined defect conditions. This dramatically improves the efficiency of drone powerline inspection programs by flagging images with detected issues for further MI (maintenance inspector) review, saving time and reducing inspector fatigue.

Machine learning is another critical element of inspection automation. When the AI model is retrained with additional annotated imagery showing new environmental conditions and equipment, it learns, improving its algorithms and becoming more adept at classifying assets and identifying failure conditions. This enables the system to become more efficient over time, adapting to new patterns of wear, new component types and evolving changes to the transmission network.

Read more at Optelos Blog

The Future of Oil and Gas Inspection Software

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πŸ”– Topics: Visual Inspection, Condition-based Maintenance

🏭 Vertical: Petroleum and Coal

🏒 Organizations: Optelos


The very nature of oil and gas operations makes assets susceptible to corrosion. Regular inspections help detect early signs of corrosion, thereby preventing potential leaks or failures. Modern technologies, such as drones and visual AI, have revolutionized this aspect, allowing for more detailed, quicker, and safer inspections.

Optelos stands out as a quintessential example of this type, merging the capabilities of the aforementioned software types into one cohesive solution. From managing visual data from UAVs to operationalizing visual AI for corrosion inspections and creating 3D digital twins, integrated platforms provide a holistic approach to oil and gas inspections.

Read more at Optelos Blog