Interactive Proximity Wall

Interactive Proximity Wall

Interactive Proximity using very simple analog circuit, without micro controller.

Robotics

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Description

This project ordered for Java Jazz Festival 2017 music event in Jakarta, Indonesia as an aesthetic element to catch the crowds with an interactive light. The light reflect any object in front the sensors. The basic circuit is an analog Infrared Led and Infrared Phototransistor proximity circuit. I use darlington transistor to drive big 10mm white led as an output. I create a pcb that contains 4 set proximity circuits in one board. Totally I build 700 PCBs for 8meter x 2meter interactive panel. I use about 4400 IR Led, 4400 IR Phototransistor, 8800 SMD Transistors, 16000 resistors, 4400 10mm White Led. Enjoy the video of this Project Story below.

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Moloti N. created project Intelligent Home Security: Africa Motion Content encoder decoder using Deep Neural Networks

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Intelligent Home Security: Africa Motion Content encoder decoder using Deep Neural Networks

We propose the use of Drones to help communities enhance their security initiatives, to identify criminals during the day and at night. We use multiple sensors and computer vision algorithms to be able to recognize/detect motion and content in real-time, then automatically send messages to community members cell phones about the criminal activities. Hence, community members may be able to stop house breakings before they even occur.

Machine Intelligence Algorithm Design Methodology

AMCnet: https://github.com/AfricaMachineIntelligence/AMCnet https://devmesh.intel.com/projects/africa-motion-content-network-amcnet

We propose a deep neural network for the prediction of future frames in natural video sequences using CPU. To effectively handle complex evolution of pixels in videos, we propose to decompose the motion and content, two key components generating dynamics in videos. The model is built upon the Encoder-Decoder Convolutional Neural Network and Convolutional LSTM for pixel-level prediction, which independently capture the spatial layout of an image and the corresponding temporal dynamics. By independently modeling motion and content, predicting the next frame reduces to converting the extracted content features into the next frame content by the identified motion features, which simplifies the task of prediction. The model we aim to build should be end-to-end trainable over multiple time steps, and naturally learns to decompose motion and content without separate training. We evaluate the proposed network architecture on human AVA and UCF-101 datasets. We show state-of-the art performance in comparison to recent approaches. This is an end-to-end trainable network architecture running on the CPU with motion and content separation to model the spatio-temporal dynamics for pixel-level future prediction in natural videos.

// We then use this AMCnet pretrained model on the Video feed from the DJI Spark drone, integrated with the Movidius NCS to accelerate real-time object detection neural networks.

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amber p. updated status

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amber pande

Hi Everybody, I am Amber Pande, pursuing undergraduate in Computer Science in India. Java, C, Python, SQL, C++, HTML5 are the programming languages that I have worked with until now.

However, my fields of interest beside core programming are Artificial Intelligence and Gaming. Currently, I am working on a Hackathon project.about Deep Learning The topic of my project is to develop a Web based software for inspection of various buildings from Life and Fire Safety Point of view.

Moreover, for my further study, I am planning to go with Artificial Intelligence and Research for my Master's Degree. Also, I am planning to make a career move as a Deep Learning (AI) research from a core developer.

I am willing to learn a lot from this platform and also do the optimum use of the resources and share my knowledge with the AI communities in India.

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FIRMANSYAH S.

Guys, Thank you for following my project, really appreciate it!

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adari girish kumar

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Pablo Esteban Camacho

I am an Argentinean Master in Software Engineering, Specialist in Embedded Systems, and C / C++ Senior Software Development Engineer.

Guadalajara, Roma Nte., 06700 Ciudad de México, CDMX, Mexico

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Stephan Volkeri

Leonardo-Campus 3, 48149 Münster, Germany

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Jalpesh Panchal

Kalptaru Society, Umiya Nagar Rd, Umiya Nagar, Anand Nagar, Ranip, Ahmedabad, Gujarat 382480, India

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