SEIDOR revolutionizes underwater analysis with Computer Vision

Client Needs

The client needed a solution for the detection, classification, and automatic counting of benthopelagic species (those that live near the seabed) from images obtained in aquatic observatories and autonomous robots. This analysis was crucial to assess the ecological impact before conducting oil & gas activities on the seabed.

Why Choose SEIDOR

SEIDOR was chosen for its experience in developing computer vision software and its ability to integrate advanced technologies such as Computer Vision, Machine Learning, and Deep Learning.

Benefits

• Automation of analysis: Reduction of manual work performed by marine biology experts.
• Precision and efficiency: Improvement in the accuracy and speed of underwater image analysis.
• Robust infrastructure: Use of high-performance cloud and data center infrastructure for training and inference service.
• International collaboration: Participation in a European project with funding and collaboration from multiple research institutions.