Awarded

Facial analytics app

We need an Android app that works completely offline that returns the age and gender of a person looking into the camera. It must work offline without capturing any images or video's of the person. It must work straight from the live camera stream. The gender must be 80% accurate at least. The age should be within a 5 year range (eg. true age is 24, app returns 19 is fine). It must work pretty instantly on Android OS above 5.1 lollipop. You may assume that devices that the app will be tested on will be mid to high end devices. We have been leveraging Google Vision for facial detection, basic mood states and attention span detection. So if that particular library can be used for the initial face detection it will be more points to the developer completing this task!

Please test the app against the below databases:

[url removed, login to view]

[url removed, login to view]~vgg/software/vgg_face/

[url removed, login to view]

[url removed, login to view]

Must

1. Be an Android app

2. Work offline

2. Capture no images/video

3. Work straight from live camera feed

4. Achieve 80% accuracy for gender (On all given datasets)

5. Achieve 80% accuracy for age within a 5 year range (On all given datasets)

6. Return results within 0.2s of identifying a face (On 5.1 lollipop / mid end devices and above)

Bonus Points for

7. Utilising Google Vision library

8. Increasing age/gender accuracy or decreasing latency/'device specs needed' beyond the above criteria

Skills: Android, Face Recognition, Java, Mobile App Development

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About the Employer:
( 0 reviews ) United Kingdom

Project ID: #16094531

Awarded to:

murtaza1122

Hi\r\n\r\nFirst of all offline its not possible. \r\n\r\nWhy:\r\n\r\nBecause face detection fall in image classification. I mage classification needs machine learning algorithm and machine learning algorithm saves ther More

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HugeWave

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codeguru786

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KESHAVINFOTECH

Hi There, Thanks for your valuable time. :-) Please check below points : 1. We need an Android app that works completely offline that returns the age and gender of a person looking into the camera. It must wor More

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sunnysmile911

Hello, dear I have a good experience in facial recognition app&website development. You can check my skills at: [login to view URL] (https://lieornot. More

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hanming223

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tekzee

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eryugal

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EricMtpixels

I have reviewed your project description and understood your project scope, would love to discuss your project over chat. This is Eric from MT-Pixels one of the top web & App development company in Texas, USA. We More

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