Computer Vision / Video Analytics

Restb.ai Offers Custom Computer Vision as a Service

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  • Barcelona-based startup RestB developed a deep learning algorithm that identifies specific objects in images with 98% accuracy after custom training.
  • The algorithm can recognize car brands and models from partial views such as a tail light or a crashed vehicle, and it determines which side or view of the car is shown.
  • RestB uses CUDA, DIGITS, TITAN X and GTX 1080 GPUs to train their models.
  • Customers include the second-hand marketplace Wallapop, which uses the technology to detect illegal drug images, as well as medical imaging centers, hospitals and a Norwegian mining company.

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The Barcelona-based startup developed a deep learning algorithm to determine in real-time what is in a particular image. RestB is commercializing their high-precision models by charging customers an initial training fee to build a custom model for their needs and charging per API call thereafter.
“If we take a picture of a city, (other company’s technology) would describe it by indicating that it shows streets, buildings and people, by day or night,” says Xavi Hernando, RestB co-founder and data scientist. “RestB is able to train intelligent models to figure out the brand and model of cars appearing in the image, the location and status of traffic lights or the architectural style of buildings.”
Using CUDA, DIGITS, TITAN X and GTX 1080 GPUs to train their deep learning models, RestB claims their algorithm is 98% accurate once it has been trained to fit the customer’s needs.

restb-ai-deep-learning-as-service
RestB’s algorithm can identify a car model from a photo of just a tail light (for example), or from a photo of a crashed car. It can also specify which side/view the image is showing of the car.

One user of the technology is the second-hand goods marketplace Wallapop which uses it to automatically identify and prevent users from posting images of illegal drugs to sell on the site. Other example medical imaging centers and hospitals to identify specifics in x-rays; and a Norwegian mining company is using the tech to automate and speed up identifying particular mineral crystals.
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