DJI Drone Capabilities for AI-Powered Applications
Explore how DJI drones, SDKs, and computer vision enable AI-powered applications for precision agriculture, automated flight, and aerial data analysis.
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Technical Reports
DJI Drone Capabilities for AI-Powered Applications 
Evaluating LaMa for AI-Powered Image Inpainting in Sairone Evaluating LaMa for AI-Powered Image Inpainting in Sairone
Removing unwanted objects from an image is easy to describe but hard to do well. This article explores how Sairone integrated a LaMa-based inpainting pipeline through IOPaint — using an image and a binary mask to reconstruct missing regions while preserving the surrounding scene, and how mask quality shapes the final result.
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PaddleOCR: A Practical Approach to Text Detection and Recognition PaddleOCR: A Practical Approach to Text Detection and Recognition
Real-world OCR rarely deals with clean, perfectly aligned text. This article explores how PaddleOCR's PP-OCRv5 pipeline handles text detection, recognition, multilingual documents, and complex layouts — and how its modular design lets OCR work as one stage of a larger AI pipeline rather than a standalone tool.
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Reducing the Cost of Adding New Object Classes with Prompt-Based Vision Models Reducing the Cost of Adding New Object Classes with Prompt-Based Vision Models
Adding a new object class to a detection system usually means collecting and annotating thousands of images before training can even start. This article explores how prompt-based vision models can generate initial annotations from raw images — letting human annotators review and refine instead of labeling from scratch — and how this workflow is coming soon to the Sairone annotation platform.
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Transformer-Based Pose Estimation in Real-World Applications: A Technical Evaluation of ViTPose Transformer-Based Pose Estimation in Real-World Applications: A Technical Evaluation of ViTPose
This technical report compares Transformer-based pose estimation against traditional approaches, revealing where Vision Transformers truly excel and where they still struggle in practical deployments.
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Semantic Segmentation for Detecting Phragmites australis in Remote Sensing Imagery Semantic Segmentation for Detecting Phragmites australis in Remote Sensing Imagery
A scalable AI pipeline that uses UAV imagery and semantic segmentation to accurately detect and monitor invasive Phragmites australis in wetland ecosystems.
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