Imago

Key Features and Capabilities

1. Image Capture and Management:

   • Image Capture: Efficiently capture high-quality images of core samples, chips, and other geological materials using standardized protocols. The software supports various imaging devices and methods.
   • Centralized Image Repository: Store and manage all geoscientific imagery in a centralized, cloud-based repository. This ensures easy access, organization, and retrieval of images.

2. Image Integration:

   • Integration with Geological Data: Link images directly with geological data such as drill hole logs, assays, and geological interpretations. This integration facilitates a comprehensive understanding of the subsurface.
   • Metadata Management: Automatically capture and manage metadata associated with each image, including location, depth, date, and other relevant details.

3. Visualization and Analysis:

   • Advanced Visualization Tools: Visualize and analyze images using advanced tools that allow zooming, panning, and annotating directly on the images. This helps in detailed examination and interpretation of geological features.
   • Comparative Analysis: Compare multiple images side-by-side to identify patterns, anomalies, and correlations across different samples or depths.

4. Collaboration and Sharing:

   • Real-Time Collaboration: Share images and interpretations with team members in real-time, enhancing collaboration and collective decision-making. Users can comment and annotate images, facilitating clear communication.
   • Accessible from Anywhere: As a cloud-based platform, Imago allows access to images and data from anywhere, ensuring that team members can collaborate regardless of their location.

5. Integration with Seequent Suite:

   • Seamless Integration: Integrates seamlessly with other Seequent products such as Leapfrog Geo and Central, allowing users to incorporate image data into their geological models and workflows.
   • Interoperability: Supports interoperability with third-party software, enabling users to utilize image data across different platforms and applications.

6. Automated Workflows:

   • Automation: Automate repetitive tasks such as image cataloging, tagging, and linking with geological data. This reduces manual effort and increases efficiency.
   • Batch Processing: Handle large volumes of images through batch processing capabilities, ensuring quick and efficient management of extensive image datasets.

7. Data Security and Backup:

   • Secure Storage: Ensure the security of images and associated data through robust cloud storage solutions with data encryption and access controls.
   • Backup and Recovery: Regular backups and data recovery options safeguard against data loss, ensuring the integrity and availability of critical geological imagery.