riaj0224/ObjectRecognition_Nuts_v_Screws
This repository presents a project focused on image recognition of nuts and screws using object detection techniques. The objective is to develop a model capable of accurately detecting and classifying nuts and screws in images, enabling automation and quality control in industrial settings.
This project helps industrial quality control and automation specialists automatically identify and classify nuts and screws in images. You provide raw images of these components, and the system processes them to tell you if it's a nut or a screw. This enables automated inspection and sorting on assembly lines.
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Use this if you need to set up an automated system to distinguish between nuts and screws for quality checks or sorting in an industrial environment.
Not ideal if you need to identify a wider variety of fasteners or objects beyond just nuts and screws, or if you don't have existing image data for these specific components.
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Jun 16, 2023
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