{"id":2648,"date":"2022-09-15T17:18:27","date_gmt":"2022-09-15T12:18:27","guid":{"rendered":"https:\/\/dicecamp.com\/insights\/?p=2648"},"modified":"2022-11-18T17:14:44","modified_gmt":"2022-11-18T12:14:44","slug":"how-can-i-shift-to-a-devops-career","status":"publish","type":"post","link":"https:\/\/dicecamp.com\/insights\/how-can-i-shift-to-a-devops-career\/","title":{"rendered":"How iPhone 14 uses alleged world\u2019s 1st Crash Detection"},"content":{"rendered":"\n

iPhone\u2019s new dazzling design catches all eyes but did you know what\u2019s behind this extol that makes iPhone a groundbreaking thing?<\/p>\n\n\n\n

It\u2019s Apple\u2019s ability to devise pioneer engineering solutions. Like the first ever usage of a crash recognition system in its iPhone 14. <\/p>\n\n\n\n

We dive deep into how Apple incorporates emergency assistance in its supreme stainless cutout, and found a series of sensors combined with an AI algorithm, working together to enable emergency assistance. <\/p>\n\n\n\n

How an iPhone models a severe crash?<\/strong><\/p>\n\n\n\n

A car crash could be typified with some basic physics.<\/p>\n\n\n\n

Pertinent to the car\u2019s state, four flags signal an accident.<\/p>\n\n\n\n

  1. The cabin pressure inside a car will change due to deflation from airbag<\/strong><\/li>
  2. The car would encounter a sudden speed shift <\/strong><\/li>
  3. A heavy crash noise is always produced <\/strong><\/li>
  4. The car may encounter an unusual orientation change <\/strong><\/li><\/ol>\n\n\n\n

    iPhone 14 effectively measures the above crash characteristics with four sensors that it carries within its 6 inches body. Moreover, the sensor output is augmented with an AI prediction that measures and classifies the car’s motion against real-world crash data.<\/p>\n\n\n\n

    Once a severe crash is detected, an emergency ‘Save Our Ship’ (SOS) is placed within 10s.<\/em><\/p>\n\n\n\n

    Reaching out for the nearest rescue center the iPhone 14 pro places an emergency SOS call within 10s of no action from the user. A bot recording continuously plays on call conveying the occurrence of an emergency at the GPS location. Between each interval a 5s silence turns on the mic to let the user speak on the call. <\/p>\n\n\n\n

    Besides the emergency SOS, iPhone 14 pro could be configured to add emergency contact as well as a medical ID.<\/p>\n\n\n\n

    Technology behind iPhone\u2019s crash detection<\/h1>\n\n\n\n

    First, you must know that all iPhones come with four micro sensors. These are the electromagnetic gyroscope, an accelerometer, barometer, and ofcourse a microphone.<\/p>\n\n\n\n

    Combining input from all these sensors, and later embedding a prediction from a pre-trained accident detection algorithm, Apple demonstrated an accurate crash detection.<\/p>\n\n\n\n

    A gyroscope detects iPhone\u2019s movements.<\/strong><\/p>\n\n\n\n

    A gyroscope calculates angular acceleration of any body it\u2019s fixated on. <\/p>\n\n\n\n

    This way a gyroscope is able to detect the direction of movement. <\/p>\n\n\n\n

    Apple has the privilege of demonstrating first ever usage of gyrometer in a phone. This came with the debut of iPhone 4 back in June 2010 when it could detect movement of your phone in six directions.<\/p>\n\n\n\n

    \"Gyrometer
    Image copyrights: <\/em>Smartprix<\/em><\/a><\/figcaption><\/figure><\/div>\n\n\n\n

    At that time, iPhone enabled gyroscope use in games, camera functionality, and VR. Now for the first time, a unique use of gyroscope comes in crash detection.<\/p>\n\n\n\n

    A MEMS gyroscope in iPhone 14 measures car’s rotation which is triggered as a result of a crash. The motion of car crashing may appear like a tilt, or overturn. <\/p>\n\n\n\n

    The accelerometer takes readings of the acceleration.<\/strong><\/p>\n\n\n\n

    Unlike a gyroscope, an accelerometer calculates linear acceleration. Commonly, an accelerometer enables screen rotation within a cell phone by estimating the direction of motion. <\/p>\n\n\n\n

    \"\"
    Image copyrights: <\/em>Smartprix<\/em><\/a><\/figcaption><\/figure>\n\n\n\n

    In crash detection, an accelerometer measures the speed with which the iPhone is moving. <\/p>\n\n\n\n

    Combining this data with the gyrometer readings, the iPhone creates a rich feature that tells about the state of motion of its user.<\/p>\n\n\n\n

    Barometer measures the pressure change from airbag deflation.<\/strong><\/p>\n\n\n\n

    Barometer is the sensor that feels the air pressure around an iPhone. <\/p>\n\n\n\n

    Though the pressure inside a car, under normal conditions won\u2019t vary significantly, however, as the crash happens, an airbag inflates and deflates instantly, causing a difference in the air pressure.<\/p>\n\n\n\n

    It\u2019s this change in pressure inside the car cabin that the iPhone picks up to characterize a car crash.<\/p>\n\n\n\n

    \"how
    A screen grab shows how an airbag deflates immediately after it\u2019s launched at a speed of 100mps\/ from <\/em>Lesics Youtube video<\/em><\/a> <\/em><\/figcaption><\/figure>\n\n\n\n

    Microphone turns on automatically.<\/strong><\/p>\n\n\n\n

    The microphone is the last element in the lineup of crash detection sensors.<\/p>\n\n\n\n

    The iPhone turns on the mic (with user consent in the privacy settings) in a passenger vehicle. This is sensed through bluetooth connectivity, CarPlay, and speed readings from the accelerometer. <\/p>\n\n\n\n

    The microphone continuously looks for a sharp noise that resembles that of an accident and reports this to the crash detection system. <\/p>\n\n\n\n

    Finally, Apple develops new Advance Motion Algorithms<\/strong><\/p>\n\n\n\n

    Now how is it possible that AI didn\u2019t enter the scene?<\/em><\/p>\n\n\n\n

    In a world where a vehicle can encounter unlimited crash scenarios, Apple wades through one million hours of real-world driving and crash footage to estimate motion behaviors in accidents. This data is used for training the machine learning algorithm to learn which motions characterize a severe crash and which identify a non-crash scenario. Apple tested its motion algorithms in the laboratory over crash scenarios such as head-on, front-impact, rear impact, side impact, and rollover.<\/p>\n\n\n\n

    iPhone 14 augments ML output with the earlier sensory readings to reach an accurate recognition outcome.<\/p>\n\n\n\n

    Concluding here, that\u2019s how iPhone 14 pro uses crash detection to save you!<\/p>\n\n\n\n

    Craft your dream AI project and stand out in a competitive landscape. Dice Analytics helps individuals from any professional background develop their AI career.<\/em><\/p>\n\n\n\n

    For more information visit our services page<\/a>.<\/em><\/p>\n\n\n\n

    Straight from the horse’s mouth!<\/h1>\n\n\n\n

    Watch Apple talk about its crash detection feat. <\/p>\n\n\n\n

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