Method and system for generating a detector for process monitoring

A system for detecting objects, the system comprising:

• at least one camera configured to capture a plurality of images;
• and
• a controller configured to:
• obtain a first training dataset including a first set of tagged images identifying a first object;
• obtain a second training dataset including a second set of tagged images identifying a second object;
• train a first parts-level detector to detect the first object using the first training dataset;
• train a second parts-level detector to detect the second object using the second training dataset;
• verify a presence of the first object in the second training dataset to form a unified training dataset;
• verify a presence of the second object in the first training dataset to expand the unified training dataset;
• and
• train a second-level detector to detect the first object and the second object using the unified training dataset.

A non-transitory computer readable medium embodying programmed instructions which, when executed by a processor, are operable for performing a method comprising:

• obtaining a first training dataset including a first set of tagged images identifying a first object;
• obtaining a second training dataset including a second set of tagged images identifying a second object;
• training a first parts-level detector to detect the first object using the first training dataset;
• training a second parts-level detector to detect the second object using the second training dataset;
• verifying a presence of the first object in the second training dataset to form a unified training dataset;
• verifying a presence of the second object in the first training dataset to expand the unified training dataset;
• and
• training a second-level detector to detect the first object and the second object using the unified training dataset.