Challenge Description:

Today, the process of inspecting transmission towers is decentralized and carried out
The process is carried out in different ways by the various subsidiaries of AXIA Energia. This challenge seeks a web platform that unifies, standardizes, and optimizes this process, incorporating artificial intelligence for automated analysis of thermal and visual images,
identifying anomalies and failure patterns in assets.

The solution should enable centralized management of inspections—with planning, tracking, documentation, and report generation features—and allow integration with drones and other image-capturing technologies, providing strategic and operational insights.

Solution Requirements:

• User-friendly interface to facilitate the visual inspection process.
• AI models for automated analysis of thermal and visual images.
• Ability to process data from multiple sources (e.g., drones, sensors).
• Centralized management of inspections, with planning and tracking tools.
• Report generation with fault and anomaly identification.
• Integration with AXIA Energy systems via API.

Business Impacts:

• Greater accuracy in inspection and maintenance analysis.
• Reduced asset downtime and increased line reliability.
• Cost savings on manual inspections and unplanned corrections.
• Access to detailed data for predictive maintenance.

Expected Benefits:

• Reduced operational risks and personnel exposure in the field.
• Faster anomaly detection and fault response.
• Increased productivity and operational efficiency.
• More reliable, accurate, and standardized reports.
• Risk mitigation and early fault detection.

Deadline: Proposal submission form will be available until 30/05/2025.

Questions: For any questions or additional information, please send an email with the subject line identifying the title of this challenge to innovationgrid@eletrobras.com