axiom-audit-camera

Missing interruption handlers in iOS camera sessions cause capture pipeline failures during phone calls or control center interactions. Auditing source code identifies missing observers and validates interruption recovery logic to maintain session stability.

iOS camera sessions freeze when AVCaptureSession configuration runs on the main thread, blocking UI interactions. Code auditing detects these threading anti-patterns and validates that session construction executes on background queues to ensure smooth UI performance.

Checking Swift camera implementations for deprecated AVFoundation APIs involves scanning source code for outdated orientation properties and legacy capture methods. The audit flags deprecated usage to ensure compliance with current iOS development standards and prevent App Store rejections.

Automated code auditing evaluates iOS audio and video session compliance by validating privacy requirements and checking capture pipeline architecture against industry best practices. This analysis outputs a reliability health score categorizing the implementation as Reliable, Fragile, or Broken.

Common AVFoundation capture pipeline anti-patterns include main-thread session work, missing interruption observers, and deprecated orientation APIs. Code auditing maps session construction and output types to identify these architectural flaws and prevent session crashes.