CASE STUDY
Dronetjek
Industry
Drone Inspection Tech
Location
Denmark
Development Time
Under Development
Cooperation Period
2024
ABOUT THE PROJECT
DronteTjeks innovative platform transforms property inspection workflows by integrating drone technology with advanced image processing. The custom-built application allows inspection administrators to upload drone-captured imagery and leverage the powerful Konva.js 2D Library alongside YOLO object detection models for precise image annotation and labeling.The system specifically utilizes the YOLOv5 model, which has been trained on drone-captured images to ensure highly accurate detection and analysis of property features. This specialized model excels at detecting rooftop cracks and automatically annotates them with color-coded comments, allowing inspectors to quickly identify and categorize structural issues based on severity and type.
TECH STACK
Client Vision
The Dronetjek project fulfills the client's vision by integrating efficient documentation, reporting, and navigation into a unified system. Our application automates aerial data capture, simplifies report generation, and includes an intuitive navigation system for easy transitions between overviews and detailed images. This design enhances accuracy, accessibility, and overall workflow efficiency, enabling users to manage and analyze project information effortlessly.
Our Execution
For the Dronetjek project, we created an advanced application that combines drone technology with intuitive data management. We automated high-resolution image capture and simplified report generation, allowing users to easily create detailed, customizable reports. Our sophisticated navigation system enhances workflow efficiency by enabling seamless transitions between project overviews and detailed images, ensuring users can efficiently document and manage project data while aligning with the client's vision.
OVERVIEW
DronteTjeks innovative platform transforms property inspection workflows by integrating drone technology with advanced image processing. The custom-built application allows inspection administrators to upload drone-captured imagery and leverage the powerful Konva.js 2D Library alongside YOLO object detection models for precise image annotation and labeling.The system specifically utilizes the YOLOv5 model, which has been trained on drone-captured images to ensure highly accurate detection and analysis of property features. This specialized model excels at detecting rooftop cracks and automatically annotates them with color-coded comments, allowing inspectors to quickly identify and categorize structural issues based on severity and type.
PROJECT FOCUS : The main focus of the DroneTjek annotation software is to streamline building inspections by enabling users to annotate various building parts with detailed precision.
CLIENT-CENTRIC APPROACH : Revolutionize your building inspections with DroneTjek's comprehensive annotation software. Effortlessly create detailed reports and interactive dashboards for seamless analysis and decision-making.
TECHNICAL EXPERTISE : Growth Loops Technology Pvt Ltd demonstrated proficiency in AWS configuration, Frontend/Backend development, UX/UI design, and AI integration to deliver a complex software solution.
PRODUCT GLIMPSE
Developed an annotation tool to facilitate the creation of building inspection, equipped with a robust database for information storage and the capability to generate reports.
DEVICE PREVIEW
User Growth
Customer Satisfaction
Engagement Metrics
Conversion Rate
MEET OUR TEAM
AYUSH AGARWAL
Project Delivery Manager
BALARAM BHAKAT
UI/UX Designer
ROHIT GHOSH
Frontend Developer
ANKANA MAJEE
Backend Developer
MURTUZA SIDDIQUEE
QA Engineer
