Case Study

Scaling Up AI-based Security Camera Solution

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Learn How Deci More Than Doubled the Number of Streams for an AI-based Security Camera Solution

Deep learning has enabled more sophisticated analysis of high-resolution videos using computer vision tasks. However, a key challenge lies in ensuring that the video analytics is accurate and economical. This case study takes a look at how a company more than doubled the number of video streams on existing hardware, improving both scalability and profitability.

Download the free case study to learn about:

  • Overcoming the hurdle of high computational demands for deep learning algorithms at inference time
  • Scaling any model for the target host to ensure production-grade performance
  • How Deci augmented an object detection deep learning model on a CPU edge server

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")