AI for Imagery

AI and Imagery: Cutting-Edge Solutions for Feature Extraction

Whether it is 2D images, spherical (panoramic) images, or aerial images, we work with clients on using AI technology to extract road and infrastructure elements from those images. This helps clients make informed decisions based on precise and actionable information. We have developed sophisticated AI algorithms that leverage deep learning technology to automate the feature extraction process. Our approach focuses on maximizing the value of visual data by identifying and classifying road features quickly and accurately.

Multi-Source Data Integration

One of the key advantages of our AI algorithms is their ability to integrate data from various imaging sources. By combining side images, spherical images, and aerial imagery, we create comprehensive datasets that provide holistic insights into project environments. This multi-source integration enables us to:

Cross-Validate Features: Enhance the accuracy of feature extraction by validating findings from different image types. For example, if a traffic sign is detected in side images, our algorithms can cross-check it with aerial imagery for consistency.
Comprehensive Reporting: Generate detailed reports that include feature classifications, geographic locations, and condition assessments from multiple data sources. This capability allows stakeholders to make informed decisions based on a complete view of the project environment.

2D Image (Video Logs) Analysis

2D images, typically captured from vehicles or ground-based systems using GoPro cameras or more advanced image capture systems. They are critical for assessing road conditions, infrastructure, and urban environments. Our AI algorithms are designed to:

Detect Features: Identify key road features, such as traffic signs, utility poles, cracks, and building footprints in an image. Using AI technology, our algorithms can extract these features even in complex environments where occlusions and varying lighting conditions are present.
Classify Features: Classify key roadside assets, such as traffic sign classes. Using pretrained algorithms, we can automatically identify the type of feature that was extracted.
Defect Detection: Employ unsupervised learning methods to identify anomalies or defects images, such as damaged road signs or worn pavement markings providing valuable insights for maintenance and safety.

Spherical Image Analysis

Spherical images, captured from 360-degree cameras, offer immersive views of environments and are particularly useful for applications in virtual tours, asset management, and urban exploration. Our AI capabilities for spherical images include:

3D Reconstruction: Utilize advanced computer vision techniques to create 3D models from spherical images. Our algorithms analyze the geometric relationships between pixels to reconstruct the environment, enabling users to navigate virtual spaces seamlessly.
Feature Extraction in 3D Space: Implement AI algorithms to extract features not just in 2D but also in 3D space. By analyzing depth information from spherical imagery, we can identify features such as buildings, trees, and other assets with greater accuracy.
Interactive Visualization: Develop interactive tools that allow users to explore spherical images and associated features in real time. This capability enhances collaboration and decision-making processes, particularly for urban planning and site assessments.

Key Benefits of Our AI and Imagery Solutions

Increased Efficiency

Automating the feature extraction process reduces the time and effort required for data analysis, enabling faster project timelines and timely decision-making.

High Accuracy

Our advanced algorithms deliver precise results in identifying and classifying features, minimizing the risk of errors associated with manual processes.

Cost-Effective Solutions

By streamlining workflows and reducing the need for extensive field inspections, our AI-driven solutions help clients save on labor and operational costs.

Scalable Applications

Our algorithms are designed to handle large datasets, making them suitable for various applications, from small-scale projects to large infrastructure initiatives.

Custom Training of AI Models

Our custom training process is designed to be seamless and efficient, ensuring that clients can quickly obtain the insights they require. Read more about our Custom Training of AI Models

Seamless Storage

All of the above can be stored in Reflektar for lifecycle asset management.

Contact us today

Unlock the potential of AI with Reflektar by efficiently extracting more information about your images. Our state-of-the-art algorithms and innovative solutions empower you to analyze visual data efficiently, enhance decision-making, and drive successful outcomes across various industries.