CV Attribute screen is available for Users with a PRO license to leverage computer vision technology for attribute detection. In addition, please verify your device compatibility with computer vision requirements: Which smartphone/tablet device does the app support ?
Produce-Specific CV Attributes
The attributes listed vary depending on the type of produce being inspected. For example, the attributes displayed in the screenshot are specific to cherries, but other fruits and vegetables will have different sets of attributes.
Automatic Extraction of Numeric Attributes
Numeric attributes, indicated by the hash symbol (#), are automatically extracted by the computer vision algorithm. These measurements provide objective, data-driven insights into the inspected produce.
Automatic Feeding into Attribute Groups
Once extracted, these attributes are automatically fed into the corresponding attribute groups (see [2]), ensuring seamless integration with the inspection process. The ‘Computer Vision Detected’ column indicates which attribute groups are being fed with detected data. Users can define specific ranges for these attribute groups by clicking on the ‘Configure’ button (see [3]). This allows fine-tuning of acceptable quality standards for each attribute. Please refer to Understanding Group Attributes in QC Inspections for detailed explanations.
Customizing the QC Report
The checkbox in the 'Display' column (see [1]) allows users to decide which attributes should appear in the final QC report. This ensures that only relevant data is included in the final inspection summary.
By leveraging this powerful automation tool, PRO users can streamline inspections, enhance accuracy, and maintain consistent quality standards across different types of produce.