Project Objective
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To build a dataset for training an object recognition deep learning model to track the continuous movement of pedestrians in a shopping mall using a camera/lidar fusion sensor.
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Build a complete basic pipeline of dataset collection, refinement, processing, and training for camera/lidar training
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Utilization Services
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Identify customer movement information through pedestrian recognition/tracking technology and utilize it for store design, product display strategy, merchandising, marketing, etc.
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AI-based 3D lidar security application
Contributions
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Identified and arranged locations for indoor pedestrian data collection for AI training
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Stayed at the shooting location and collected data using the data collection system
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3D lidar point cloud data labeling
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Research, experiment, analyze, and evaluate deep learning-based 3D lidar object detection algorithms
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Writing user manuals for training deep learning-based artificial intelligence models
References
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Introduction Video