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Camera autofocus and subject tracking explained
Match autofocus to subjects, lens and burst needs instead of comparing focus-point counts.
Start with the real use
Single focus, continuous tracking, face or eye detection and subject recognition solve different tasks. Coverage, acquisition and consistency matter more than the raw number of points.
Understand the compromise
Fast bursts are wasted when focus misses or the buffer stops early. Low light, backlighting, small subjects and slower lenses can change tracking markedly.
Verify the exact product
Use exact-model tests with the subject type you photograph, and check settings, lens compatibility and keeper rate across a full sequence.
Before you decide
- Decision to record: Match autofocus to subjects, lens and burst needs instead of comparing focus-point counts.
- Comparison to make: Single focus, continuous tracking, face or eye detection and subject recognition solve different tasks. Coverage, acquisition and consistency matter more than the raw number of points.
- Trade-off to accept: Fast bursts are wasted when focus misses or the buffer stops early. Low light, backlighting, small subjects and slower lenses can change tracking markedly.
- Evidence to verify: Use exact-model tests with the subject type you photograph, and check settings, lens compatibility and keeper rate across a full sequence.
Common questions
Does eye detection guarantee sharp eyes?
No. It identifies a target; shutter speed, lens, depth of field and tracking still affect focus.
Are more AF points always better?
No. Coverage and algorithms matter more than count alone.
About this guide
This is buying advice based on documented features and practical comparison criteria, not a hands-on product test. Check the exact manufacturer specification for compatibility and current support. Our editorial policy · Report a correction.
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