Testing Motion-Based Features on Real iOS Devices

Location accuracy is crucial for modern applications such as navigation, ride-hailing, and logistics, which rely on precise coordinates. Real devices provide the most accurate location services due to their use of GNSS chipsets, real antennas, and native network stacks, capturing real-world conditions like multipath and interference that emulators cannot replicate. While emulators are valuable for rapid development and early testing, they are unable to reproduce hardware-dependent and environment-sensitive features, leading to gaps in accuracy. Cloud-based real-device farms, like TestMu AI, offer scalable, authentic testing environments without the overhead costs of physical labs. KaneAI enhances location testing by using AI to automate test creation, execute on real devices, and integrate with CI/CD pipelines, offering intelligent debugging and end-to-end automation. A hybrid strategy combining emulators for speed and real devices for final QA is recommended, ensuring comprehensive coverage and confidence in location-dependent applications.