Ios - Bengaluru
4 weeks ago
developer account with Apple to access the iOS SDK (Software Development Kit) and other development tools. 2.Familiarity with Swift or Objective-C, the programming languages used to develop iOS apps. 3.A strong understanding of iOS development principles, including layout, event handling, and data storage. 4.The ability to use the iOS SDK to access the device's camera and microphone. 5.The ability to use the iOS SDK to display video frames and rPPG signals in real-time. 6.The ability to integrate OpenCV, NumPy, and other Python libraries into the iOS app via a Python interpreter such as python4ios or python-for-ios. 7.(Optional) A dataset of face videos with corresponding physiological data such as heart rate, blood pressure, etc. for training and testing the pipeline. 8.(Optional) Experience with CoreML, a framework for integrating machine learning models into iOS apps, if you want to include machine learning in your pipeline. 9.A good understanding of the iOS Human Interface Guidelines and App Store review guidelines to create an app that is user-friendly and adhere to Apple's standards. Functional Requirements 1.Data acquisition: The SDK should be able to acquire rPPG data from the device's camera or other sensors, such as the heart rate sensor. 2.Signal processing: The SDK should be able to process the acquired rPPG data using the Python-based rPPG pipeline, including filtering, segmentation, and feature extraction. 3.Vital signs calculation: The SDK should be able to calculate physiological signs from the processed rPPG data. 4.Data visualisation: The SDK should be able to display the processed rPPG data, including the calculated heart rate, in an easy-to-understand format. 5.Data export: The SDK should be able to export the processed rPPG data, including the calculated heart rate, to a file format such as CSV or JSON. 6.Integration with other apps: The SDK should be able to easily integrate with other iOS applications, allowing developers to incorporate rPPG data into their apps. 7.Real-time monitoring: SDK should have capability to monitor real-time rPPG data with minimal delay. 8.Multi-session Support: The SDK should support multiple sessions with the ability to store and retrieve session data. 9.Remote monitoring: The SDK should allow remote monitoring of the rPPG data, with appropriate security protocols. Non-Functional Requirements 1.Compatibility: The SDK should be compatible with the latest versions of iOS and should support different devices such as iPhones and iPads. 2.Performance: The SDK should provide real-time processing of rPPG signals with minimal delay. 3.Scalability: The SDK should be able to handle multiple users and streams of rPPG data simultaneously. 4.Security: The SDK should implement secure data transmission and storage to protect user privacy. 5.Documentation: The SDK should come with detailed documentation to guide developers on how to integrate the rPPG pipeline into their iOS applications. 6.Ease of use: The SDK should have an easy-to-use interface that makes it simple for developers to incorporate the rPPG pipeline into their applications.Experience Required
4 - 6 Years
Industry Type
IT
Employment Type
Permanent
Location
India
Roles & Responsibilities
The ability to use the iOS SDK to access the device's camera and microphone,The ability to use the iOS SDK to display video frames and rPPG signals in real-time,The ability to integrate OpenCV, NumPy, and other Python libraries into the iOS app via a Python interpreter such as python4ios or python-for-ios,A good understanding of the iOS Human Interface Guidelines and App Store review guidelines to create an app that is user-friendly and adhere to Apple's standards,Integration with other apps,Real-time monitoring,The ability to use the Android SDK to access the device's camera and microphone,The ability to use the Android SDK to display video frames and rPPG signal in real-time,The ability to integrate OpenCV, NumPy, and other Python libraries into the Android app via a Python interpreter such as QPython or Kivy.,A good understanding of the Android Material Design Guidelines and Google Play Store review guidelines to create an app that is user-friendly and adhere to Google's standards,To create cross platform SDKs for video-based heart rate estimation,The proposal should include the approach to implement the task and testing methodology,Develop SDK 3 Test SDK 1
Expertise & Qualification
Familiarity with Swift or Objective-C, the programming languages used to develop iOS apps,Experience with CoreML, a framework for integrating machine learning models into iOS apps, if you want to include machine learning in your pipeline,Familiarity with Java or Kotlin, the programming languages used to develop Android apps,Experience with TensorFlow Lite, a framework for integrating machine learning models into Android apps, if you want to include machine learning in your pipeline
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