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10.5.1 Advanced Vision Roadmap: OCR, Face, Video, 3D

Advanced vision is not a list of model names. It is a set of application directions built on the same visual foundation: more complex inputs, outputs, constraints, and risks.

See the Direction Map First​

Advanced vision direction selection map

OCR layout reading order map

Video frame tracking temporal window map

OCR fits documents, face recognition fits identity-sensitive scenarios, video fits time and motion, and 3D vision fits spatial structure.

Run a Direction Choice Check​

Pick one direction instead of trying all four shallowly.

requirement = {
    "input": "screenshot",
    "needs_text": True,
    "needs_identity": False,
    "needs_time": False,
    "needs_depth": False,
}

if requirement["needs_text"]:
    direction = "OCR"
elif requirement["needs_identity"]:
    direction = "Face"
elif requirement["needs_time"]:
    direction = "Video"
elif requirement["needs_depth"]:
    direction = "3D"
else:
    direction = "Classification or detection"

print("direction:", direction)
print("first_output:", "text with layout")

Expected output:

direction: OCR
first_output: text with layout

For face, surveillance, medical, or identity projects, write privacy and usage boundaries before showing results.

Learn in This Order​

StepDirectionPractice Output
1OCRExtract text, layout, fields, confidence, failure samples
2FaceDetect faces, explain threshold, privacy, and bias risks
3VideoTrack events across frames and record temporal failures
43D visionExplain depth, point cloud, geometry, and sensor assumptions

Pass Check​

You pass this chapter when you choose one direction, define input/output, run a minimum project, and document failure cases plus usage boundaries.