A cutting-edge Street Quality Identification System leveraging TensorFlow, Keras, and CNN merges advanced image processing and IBM Watson’s AI intelligence. Powered by Python and orchestrated through Node-RED, this solution delivers real-time, accurate road condition analysis, enabling smarter infrastructure maintenance and safer streets. It transforms raw data into actionable insights with precision and efficiency, redefining urban road management.
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An expert in model training crafts high-quality, precise datasets and fine-tunes AI models to achieve exceptional accuracy and performance. They blend technical skill with analytical insight to optimize learning processes, ensuring models adapt seamlessly to real-world challenges. By continuously refining models, they deliver powerful, reliable AI solutions that drive innovation and empower clients with data-driven intelligence.
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Crafted a cutting-edge object counting and detection system leveraging Faster R-CNN’s state-of-the-art accuracy, combined with Kalman Filter and Hungarian Algorithm for precise tracking and association. This advanced solution delivers exceptional performance with 97.88% accuracy, ensuring reliable, real-time insights for complex environments and empowering clients with powerful, intelligent automation capabilities.