Optimizing STL Image Compression with Recurrent Neural Networks and Binarized LSTM

K. Himaja, M. Christina and D. Anu Disney
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K. Himaja: Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Semmancheri, Chennai TamilNadu
M. Christina: Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Semmancheri, Chennai TamilNadu
D. Anu Disney: Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Semmancheri, Chennai TamilNadu

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 4, 786-796

Abstract: Industry 4.0 has transformed the production process. It impacts virtually every area of life and every sort of business. This paper deals with how the healthcare sector, along with Industry 4.0, can be integrated and automated and is intelligent. Inventions in medical science, orthopedics being one of the specialties, have been designed. Orthopaedics is a field requiring customized products, as implants and equipment differ in each patient’s case. Industry 4.0 has a very smart production system. Its requirements for orthopedics can be easily met. Quality implants, bio-models, surgical instruments, and many other orthopedic devices are designed and manufactured quickly. Here, doctors as well as patients are supported by virtual reality simulation and 3D views of equipment and patients. Holography will benefit education. Industry 4.0 would help to reduce the pain of the patient during the planning of a surgical task. Industry 4.0 will use a world-class production system that effectively produces smarter medical and orthopedic devices. Skin cancer is curable if diagnosed early by a dermatologist using a dermatoscope. Many companies use AI to improve sales, productivity, speed, efficiency, segmentation, targeting, compliance, conversions, product development, and business growth. This approach involves compressing 3D images using RNN and auto-encoder network designs without losing the quality of the photos. For that reason, the results are tested through rate-distortion analysis that is performed before and after compression.

Date: 2025
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