TKVW_Pads_Adaptadores Computer Vision Project

Here are a few use cases for this project:

1. Automobile Manufacturing Quality Control: This model can be leveraged to ensure the correct types of pads and adapters are being installed during the manufacturing process. It can identify whether Adapter_Plus, Soft_Pad, Adaptador_Ped_Largo, Shear_Pad, AAR_Standart, PAD_APL is appropriately used as per design requirements.

2. Industrial Machinery Maintenance: Maintain and monitor heavy machinery or industrial equipment where these adapters and pads are frequently used. It can help in identifying which parts need to be replaced during maintenance cycles.

3. Automobile Repair And Service: Auto repair shops can use the model to quickly identify the exact type of pads or adapters needed for a specific repair job, improving efficiency and reducing the risk of misidentifying parts.

4. Online Retail Sites: E-commerce sites selling pads and adapters can implement this model to automatically tag their products with the right category, making it easier for customers to find the appropriate parts they need.

5. AI-Based Training for Mechanics: This model can be integrated into an augmented reality app to train mechanics by visually identifying and explaining what each type of pad or adapter is used for, helping them to learn faster and more effectively.