Products & Services

Avitas Systems has proven experience performing automated and remotely monitored inspections for industrial infrastructure by integrating cameras and sensors with autonomous aerial and crawling robots.

This suite of advanced inspection platforms offers repeatable visual inspection, automated change detection, and automated defect recognition. When used in combination with our deep learning system, the full inspection process is automated including data acquisition, data analysis, recommendation generation, data visualization, and reporting. The Avitas Systems Platform is built to learn as more data is ingested across diverse sources, leading to smarter, risk-based inspection findings.

Automated Inspection

Avitas Systems uses state-of-the-art robotics equipped with an array of advanced sensors, including RGB, infrared, laser-based, and ultrasonic, to collect data. Using autonomy to control the path of drones and the operation of the sensor kit, enables repeatable measurements for the AI platform to detect changes over time, as well as automated defect and asset recognition.

Avitas Systems partners with a range of robotics manufacturers, customizing the robots with sensor kits to make industrial inspection safer and more efficient.

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Aerial

Autonomous aerial inspection systems with rotorcrafts and fixed-wing aircraft. Learn more about Vertical Asset Inspection.

Surface

Robotic surface crawlers with integrated control systems and swappable sensors.

Subsea

Autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs).

Sensors

Custom sensor and imaging technology, includes high resolution red, green, blue (RGB) cameras, long-wave infrared technology, tunable diode laser absorption spectroscopy (TDLAS), optical gas imaging (OGI), LiDAR, and ultrasonic sensors.

Risk-Based Decision Making

This is enabled by utilizing advanced analytics and AI/deep learning combined with fused data from system operations, weather conditions, and asset inspection to optimize maintenance and inspection schedules.

Predictive analytics, probability of failure, and recommendations balance cost savings against potential consequences of actions.

  • Assisted defect recognition to determine severity of asset defects
  • Time series change detection to quantify defect breakdown
  • Object detection to identify unplanned entities

Predictive Modeling

Avitas Systems uses state-of-the-art AI and deep learning models to enable predictive analytics. These models are stored in an innovative self-service AI Workbench, an original solution that can process inspection data in real time and retrain deep learning models to rapidly adapt to new use cases. New methods of learning, tailored to customers’ data, can be transferred to pretrained models, which expedites overall deep learning.

Avitas Systems also fuses historical data with advanced numerical and machine learning techniques, resulting in robust prediction models that are easy to calibrate and maintain.

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Learn more about our bespoke cloud-based platform that supports the full end-to-end inspection management process