2019 Proceeding
No abstract available.
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Edge Computing with Embedded AI: Thermal Image Analysis for Occupancy Estimation in Intelligent Buildings
With the rise of the IoT, there has been a growing demand for people counting and occupancy estimation in Intelligent buildings for adapting their heating, ventilation and cooling systems. This can have a significant impact on energy consumption at a ...
Customizable Automatic Lower Cost Feeder using Free Hardware / Software and Scrap
Industrial automation is undergoing a major transformation due to the ease of access to information we have today, as well as the popular use of free hardware / software. Projects that were previously developed by experts in the field today can easily ...
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models
- Michael J. Klaiber,
- Sebastian Vogel,
- Axel Acosta,
- Robert Korn,
- Leonardo Ecco,
- Kristine Back,
- Andre Guntoro,
- Ingo Feldner
End-to-end performance estimation and measurement of deep neural network (DNN) systems become more important with increasing complexity of DNN systems consisting of hardware and software components. The methodology proposed in this paper aims at a ...
Hardware/Software-Codesign for Hand Gestures Recognition using a Convolutional Neural Network
Hand Gesture (HG) recognition has been an interesting and challenging scientific problem in computer vision and machine learning. However, achieving high performance and high accuracy is a challenging task in gesture recognition. The intensive ...
Sensor Monitoring and Supervision Using Web Applications and Rest API
This paper presents an enviroment for the collection of sensor readings and information storage in a database accessed by a REST API, that allows the monitoring of the readings with visualization of the data in JSON format or through reports generated ...