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Case Study: DWaste Edge AI for Recycling at UMD
This case study presents the deployment of the DWaste edge device at the University of Maryland, showing how edge AI can monitor waste disposal in real time and provide actionable insights for recycling initiatives.
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Resin Identification Code and Its Recyclability
Resin Identification Code (RIC) was introduced in 1998 to identify the plastics composition making it easier to understand the recyclability and decomposability of plastics. This has been adopted widely and can be found in the bottom of plastic products.
Streamlining Image Annotation with Annotate-Lab
Image annotation is the process of adding labels or descriptions to images to provide context for computer vision models. This task involves tagging an image with information that helps a machine understand its content. Annotation is crucial in applications such as self-driving cars, medical image analysis, and satellite imagery analysis.
Pruning and Quantization in Keras using TrashNet Dataset
Pruning and quantization are powerful techniques that can optimize deep learning models, especially in resource-constrained environments. They help to reduce model size and computational requirements while maintaining similar performance to the original model.