Overview

AI-Driven Surveillance

A large-scale solar farm operator faced challenges in monitoring the health and efficiency of their solar panels. Manual inspections were time-consuming, expensive, and often ineffective in identifying subtle damages or efficiency losses in real-time. The client required an automated and scalable solution to optimize maintenance, reduce operational costs, and maximize energy output.

Objectives

Our AI-Powered Solution We deployed an AI-driven analytics system that processes drone-captured video footage to automate solar farm monitoring. The key capabilities of our solution include:

Automated Panel Counting

AI algorithms accurately count the number of installed and functional panels.

Damage Detection & Classification

Using computer vision, our system identifies and categorizes damaged panels based on severity.

Orientation Analysis

Detects any misalignment or changes in tilt angle that impact efficiency.

Dust & Dirt Detection

Evaluates panel cleanliness and recommends cleaning schedules.

Energy Production Impact Assessment

Calculates the effect of panel defects, misalignment, and dust on daily and monthly energy output

Challenges

01

Panel Count & Integrity

Difficulty in tracking the exact number of operational panels.

02

Damage Detection

Identifying damaged panels manually was labor-intensive and often delayed.

03

Orientation Issues

Changes in panel orientation due to environmental factors were affecting efficiency.

04

Dust Accumulation

The presence of dust and dirt led to efficiency losses, requiring frequent cleaning schedules.

05

Impact on Energy Production

Lack of precise data on how these issues affected overall energy output.

Client Benefits

Solar Parks

Reduction in manual inspection time by 70%, leading to significant savings.

Increased Energy Output

Minimized losses due to faulty panels and dust accumulation

Faster Decision Making

Data-driven insights for better resource allocation

Scalability

Easily applicable to multiple farms without major infrastructure changes

Business Impact

Deployed on drone-captured video feeds, achieving over 95% accuracy in panel defect detection.

Reduced manual inspection time by 70%, leading to significant cost savings.

Provided real-time energy loss estimates, enabling proactive maintenance & optimization.

Helped increase the solar farm’s efficiency by 15% due to timely interventions.

Conclusion

Our AI-powered solar farm surveillance system has revolutionized maintenance and monitoring, ensuring maximum efficiency and cost-effectiveness. By leveraging AI and drone technology, solar farm operators can achieve precise insights, reduce downtime, and maximize energy output with minimal operational disruptions.

Interested in optimizing your solar farm?

Contact us today to explore AI-driven solutions!