Summary

Client Germany-based Automobile Startup Country Germany
Project scope and technology YOLO, Python, Kotlin, Swift Industry Automobile
Team Composition 1 Project Manager, 2 Python developers, 1 YOLO expert, 1 Kotlin developer, 1 Swift developer, 1 UI/UX designer, 1 QA Work duration 4 Months

AI car damage detection software is an advanced solution designed to accurately identify damage on cars. Users can upload pictures and videos of their cars, and the software will leverage computer vision and deep learning to detect and categorize damages such as scratches, dents, and other imperfections in real-time.

With real-time processing and high precision, the AI car damage detection software streamlines vehicle inspections, enabling users to assess damage effortlessly and make informed decisions.

Challenge

A Germany-based automobile startup approached Quytech to develop an AI-powered software that could detect vehicle damages and classify them based on their severity, size, type, etc., within seconds.

The goal was to improve road safety by identifying minor damages that, if ignored, could lead to serious accidents.

The major challenge in this project was to build a high-precision AI model capable of detecting even the subtle dents and scratches under various conditions.

AI car damage detection software is a cutting-edge software developed to detect and classify different types of damages on cars, trucks, bikes, and other vehicles in real-time. It is powered by the YOLO object detection model, and the AI is optimized for delivering accurate and fast results. The software is available for both Android and iOS devices.

Process

After extensive brainstorming sessions with the client, our development team began building the AI car damage detection software. They leveraged Python and the YOLO (You Only Look Once) object detection model to build the software.

Also, to ensure high accuracy and real-time detection, our AI experts trained the model on a vast dataset of images of damaged and undamaged vehicles, enabling it to classify damages like scratches, dents, and structural defects under different lighting and environmental conditions. The AI model is optimized for speed and precision, ensuring instant damage detection from uploaded images and videos.

Moreover, our UI/UX designer crafted intuitive user interfaces so that users can easily navigate through the software.

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Key Features:

  • User-Friendly Interface
  • Scratch Detection
  • Dent Detection
  • Damage Classification
  • Damage Size Estimation
  • Severity Assessment
  • Multi-Angle Damage Detection
  • Automated Inspection Reports

Outcome

After months of dedication and innovation, we proudly developed AI car damage detection software that can accurately detect damage on vehicles.

The software can also detect even minor damages in real time, helping prevent potential accidents caused by unnoticed defects.

With intuitive interfaces and advanced AI integration, AI car damage detection software has revolutionized vehicle inspections, enhancing both damage detection and road safety.

2 Weeks

Ideation

11 Weeks

Development

2 Weeks

Testing

1 Week

Deployment
Design
Development
Project Duration

I am very thankful to Quytech for building my AI car damage detection system. I am really impressed with the accuracy of the detections it provides. The AI is highly precise and fast too; it detects even minor defects and alerts within seconds. I highly recommend Quytech and look forward to doing more business with them.

Founder, German-based Automobile Startup

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