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Justin S. created project Moodlight

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Moodlight

Modify the lighting in a room with emotion and object detection on a Raspberry Pi using a Neural Compute Stick and TensorFlow.

Hardware: - Raspberry Pi (or Intel NUC) - Movidius Neural Compute Stick - WS2812X addressable light strip (or simple colored LEDs) - PiCamera or Webcam

Software - OpenCV - TensorFlow

Justin

Justin S. added photos to project Watch Monster

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Watch Monster

Watch Monster finds and tracks faces in the room, enlarging them into frightening proportions on a monitor. It uses OpenCV to find faces and then enlarges the first one (or random one) that it finds, creating a live flickering mirror with guests faces.

Tested on Intel NUC (pictured), Intel core i5 Macbook Pro and Raspberry Pi.

- Suitable for Halloween parties.

Justin

Justin S. added photos to project Watch Monster

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Watch Monster

Watch Monster finds and tracks faces in the room, enlarging them into frightening proportions on a monitor. It uses OpenCV to find faces and then enlarges the first one (or random one) that it finds, creating a live flickering mirror with guests faces.

Tested on Intel NUC (pictured), Intel core i5 Macbook Pro and Raspberry Pi.

- Suitable for Halloween parties.

Medium justin

Justin S. created project Watch Monster

Medium 1c5fa3a5 c42b 486a bc65 e0a7bb84be76

Watch Monster

Watch Monster finds and tracks faces in the room, enlarging them into frightening proportions on a monitor. It uses OpenCV to find faces and then enlarges the first one (or random one) that it finds, creating a live flickering mirror with guests faces.

Tested on Intel NUC (pictured), Intel core i5 Macbook Pro and Raspberry Pi.

  • Suitable for Halloween parties.
Justin

Justin S. added photos to project Party Pi (Group Dynamics Analytics)

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Party Pi (Group Dynamics Analytics)

Feel the pulse of the party with this emotion/motion/posture detection and analytics application for IoT devices.

Each room in a party or event hall is equipped with sensors that modify music and lighting according to the activity of guests. The backend provides a summary of "social signals," such as degree of connectedness and social clustering.

Equipment:
- Raspberry Pi
- LED multi-color lights

Software used:
- Intel Computer Vision SDK
- Intel Deep Learning SDK
- Intel OpenCV
- Sonic Pi audio synthesizer / playlist manager

Justin

Justin S. added photos to project Party Pi (Group Dynamics Analytics)

Medium de52e7d5 ff8d 4da2 9f15 429107c6da96

Party Pi (Group Dynamics Analytics)

Feel the pulse of the party with this emotion/motion/posture detection and analytics application for IoT devices.

Each room in a party or event hall is equipped with sensors that modify music and lighting according to the activity of guests. The backend provides a summary of "social signals," such as degree of connectedness and social clustering.

Equipment:
- Raspberry Pi
- LED multi-color lights

Software used:
- Intel Computer Vision SDK
- Intel Deep Learning SDK
- Intel OpenCV
- Sonic Pi audio synthesizer / playlist manager

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Party Pi

Thumb justin Justin Shenk

Created: 08/11/2017

Emotion-detection party game using Intel's Computer Vision SDK (OpenCV)

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Moodlight

Thumb justin Justin Shenk

Created: 11/09/2017

Modify lighting based on emotions or objects using a Neural Compute Stick

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Felix Farley

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London, UK

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Baye Gaspard

Gaspard is professional developer who loves team work, problem solving and can work in a dynamic environment.He loves coding but he is passionate about IoT, AI and Robotics.Gaspard was the best overall graduating male student in 2016 and won 2 President Paul Biya Awards for the best National student in Higher National Diploma student in telecommunications and he was also the best GCE Advanced A-level science student in Northern Cameroon.He Co-founded an IT startup aimed at solving community problems using ICT.He was a 10academy fellow, where he participated in an intensive program and has acquired modern skills such as design thinking, Artificial Intelligence, Machine Learning, Big Data, Robotics and Business Management.Currentle working on an AI powered free mobile application to diagnose, detect and prevent respiratory diseases in less than 10 mins, then connect patients with doctors(and or specialists) both locally and remotely.

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Fauzan St Mangkuto

Pejaten, Kramatwatu, Serang, Banten 42616, Indonesia

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