Case Study

Automotive Photography

Improving the quality of car photography using Computer Vision

...
Will Perkins
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Business Challenge

The emergence of online automotive marketplaces has revolutionized the way consumers buy and sell pre-owned vehicles.

Quality photography is crucial for car buyers to confidently reach a decision about purchasing a pre-owned vehicle. Car sellers struggle to capture high-quality photos due to their limited knowledge of photography and lack of access to professional equipment.


“ With the help of Computer Vision, we can guide a car seller to take better photos.”


Approach

Laan Labs approached this problem for a German automaker by creating a mobile app that enables a car seller to quickly and easily photograph the exterior and interior of a car using an ordinary smartphone. With the help of Computer Vision, we can use software algorithms to guide a car seller to take better photos.

Powered by a custom-trained neural network, the app estimates the pose of a car and provides visual feedback to the user in real-time: helping to position a car in the camera's frame - to obtain the perfect shot every time.

Some of the tasks performed with Computer Vision include:

  • Car Pose Estimation

  • Sufficient Lighting Detection

  • Automatic Camera Focus

Business Value

By leveraging Machine Learning and state-of-the-art Computer Vision techniques, Laan Labs was able to quickly deliver an iOS app, with a simple & intuitive experience that produces high-quality photos with strong visual consistency.

Technologies Utilized

Computer Vision, Neural Networks, Augmented Reality, Python, iOS, TensorFlow, CoreML

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