Poster Presentation
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The document describes an Environmental Sensing Instrument (ESI) created using an Ubuntu operating system, Raspberry Pi hardware, C++ and Python programming languages, and sensors including a thermal infrared camera and Arduino microcontroller. The ESI is intended to gather environmental data for purposes such as personal weather forecasts, micro-climate sensing, and air quality measurement. Potential future uses of the ESI include characterizing micro-climates to assess risk of Zika virus and augmenting robotics with remote sensing capabilities. The ESI system design incorporates components like controllers, sensors for gases, radiation, luminosity, weather, and cameras to provide optical and thermal views.
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This presentation is about AI from start to end. It also covers importance of AI and its application with examples.
IoT BASED SMART HOME USING ARDUINO
This is an energy efficient smart home using internet of things and Arduino. This is just a design part.
Programming The Real World
This document provides an introduction to Sun SPOT (Small Programmable Object Technology), a wireless sensor networking platform for programming real-world applications. It discusses the evolution of computing towards ubiquitous sensing and wireless networks. The Sun SPOT hardware and software are presented, including its Java-based programming environment. Example applications demonstrated include environmental monitoring, robotics, and gesture recognition. The document concludes with questions and thanks from the presenter.
IGERTSummary
This document describes a project to design and build a wireless sensor network to monitor formaldehyde emissions in real-time in industrial settings. The project had multiple phases including testing commercially available formaldehyde sensors; designing and testing a wireless network; and field testing sensors placed around a resin blender at a wood composites facility. The goals were to better understand formaldehyde emission patterns, evaluate existing safety controls, and develop a system to provide real-time exposure data and inform safety practices. An ontology and database were developed to semantically model sensor data. The system was able to detect differences in formaldehyde levels around processing equipment during different tasks and test conditions.
Wireless Sensing by Passive Radiofrequency Identification: Research, Systems ...
RADIO6ENSE is a spin-off of the University of Roma "Tor Vergata", aiming at developing short-range distributed RFID sensing technology to discreetly measure and quantify our interaction with things and with the surrounding spaces.
RADIO6ENSE designs and develops RFID Sensing and Identification Platforms for Industrial, Civil, Aerospace and Biomedical applications for Smart Cities and the emerging Internet of Things.
Wireless Sensing by Passive Radiofrequency Identification: Research, Systems ...
RADIO6ENSE is a spin-off of the University of Roma "Tor Vergata", aiming at developing short-range distributed RFID sensing technology to discreetly measure and quantify our interaction with things and with the surrounding spaces.
RADIO6ENSE designs and develops RFID Sensing and Identification Platforms for Industrial, Civil, Aerospace and Biomedical applications for Smart Cities and the emerging Internet of Things.
Intelligent sensor networks 15 11-2016
Presentation slides of 30 minute lecture about machine vision camera as a sensor.
Applicable in industry, traffic, agro and more.
The value of a sensor-network to help convert data into information, projected on automation in AgriCulture / Agribotics.
a framework for fingerprinting ICS honeypots
Honeypots are well-known tools for detecting and trapping hacking attempts. Compared to other security mechanisms such as Firewalls and Intrusion Detection Systems, honeypot technology has not advanced significantly, particularly in Industrial Control Systems (ICS).
ICS honeypots attempt to simulate the services of industrial control systems to imitate their behaviors. The adversaries on the other hand try to identify these honeypots and bypass them. This makes protecting such honeypots against detection very important.\r\nIn this research, we categorize honeypot identification methods used to identify industrial honeypots. We classify these methods in four categories, the first three of which are the commonly discussed in the literature, whereas the fourth method is related to the nature of industrial control systems.
With respect to these categories, we have developed an ICS honeypot detection framework, and evaluated it by identifying “Gaspot”, a popular ICS honeypot used to simulate common tank gauges used in the oil & gas industry.\r\nOur framework recognizes honeypots based on characteristics specific to each categorization. Evaluations show that our framework identifies gaspots with more confidence compared to state-of-the-art tools.
Data Acquisition System & Data Logger
Data acquisition systems sample real-world data and convert it to digital form using transducers and sensors. They were first developed in the 1960s and have become essential for automatically collecting, processing, analyzing and displaying measured data. A data acquisition system consists of sensors, signal conditioning components, data acquisition hardware and computer software. Data loggers are electronic devices that record data over time from internal or external instruments and sensors. They are small, portable devices equipped with microprocessors that are useful for long-term monitoring and measurement applications across various industries.
Fire Fighting Robot by saurabh
This document describes a firefighting robot that can sense and locate fires using sensors like infrared and heat sensors. It navigates using six legs to obstacles. When a fire is detected, the robot stops and signals its location to the remote control room. It is powered by a power supply system that includes a step-down transformer, rectifier, and regulator. The robot aims to detect fires efficiently and help fight small fires, though it has limitations like a limited battery life and inability to fight large fires. Potential applications include server rooms, industrial areas, and camps to prevent wildfires. Future work could include delivering other fire extinguishing agents like carbon dioxide.
Arpan pal roboticsensing_sw2015
This document discusses 5-sense computing in robots for remote monitoring applications. It describes how giving robots human-like senses such as sight, hearing, smell, taste and touch would allow them to be used for remote inspection in hazardous environments. Current robotic sensing capabilities are outlined and examples of using multi-sensory robots for remote quality control, tank inspections and underground mine monitoring are provided. The networking requirements for transmitting multi-sensory data from robots in real-time are also summarized.
A Practical Guide to Anomaly Detection for DevOps
Recent years have seen an explosion in the volumes of data that modern production environments generate. Making fast educated decisions about production incidents is more challenging than ever. BigPanda's team is passionate about solutions such as anomaly detection that tackle this very challenge.
PPT on Weather Monitoring System-converted (1).pptx
This document describes a weather monitoring system that uses a Raspberry Pi to measure temperature and humidity from a DHT11 sensor. It discusses the hardware components including the Raspberry Pi, DHT11 sensor, breadboard, and jumper wires. It also discusses the software used, including the Raspbian OS, Python, and VNC viewers. The system is designed to be a low-cost, portable weather station that can monitor and transmit environmental data in real-time.
Computer-Vision based Centralized Multi-agent System on Matlab and Arduino Du...
This document summarizes an internship project involving a centralized multi-agent system using computer vision and Arduino microcontrollers. The project aims to track multiple mobile agents with an overhead camera for collective task completion. Key aspects include interfacing robots and cameras using Matlab and Arduino, developing image processing to identify robot locations, and simulating swarm behaviors like surrounding objects, escorting objects, and maze solving. The system is designed to be robust, scalable, and adaptable at low cost for potential applications in planetary exploration, construction, mining, emergency response, and other domains.
IRJET - IoT based Surveillance Robot
This document describes an IOT based surveillance robot that can be remotely monitored and controlled. The robot uses a Raspberry Pi board connected to various sensors like a camera, gas sensor, PIR sensor, metal detector, and temperature/humidity sensor. The Raspberry Pi transmits real-time sensor data to a cloud platform over WiFi. A user can then access this data through a web application to monitor the robot's surroundings and control its movement remotely. The system is intended to help detect threats like terrorist attacks or landmines from a distance.
IoTCourse.pptx
This document outlines the content and agenda for an IOT course taught by Gaurav K. The course will cover topics such as IOT connectivity, devices, sensors, protocols, Arduino and Raspberry Pi, cloud platforms like AWS and Azure, real-world use cases, and projects. Students will learn to implement IOT solutions and connect devices over IP networks. The course is 30 hours long and will include hands-on labs and projects using Arduino, Raspberry Pi, sensors, and cloud services.
Real-time, Sensor-based Monitoring of Shipping Containers
This presentation describes a sensor-based solution for real-time monitoring of high-value assets in-transit so shippers can react quickly to unplanned events such as delays, cargo damage, and even thefts.
Selected as one of the best presentations at the 2012 Vail Computer Elements Workshop. For 42 years, this 4-day workshop has served leading architects of the computer industry. The agenda is 100% invited technical talks and the audience is mostly previous speakers.
QUIN 4.0 - Smart Drone - Final Presentation
A presentation detailing our senior design project the QUIN 4.0 smart drone. The long nights and hard work paid off when the project won 2nd place, beating 11 other projects, for the best senior design award.
design and develop a FIRE EXTINGUISHER ROBOT.pptx
The project aims to design and develop a FIRE EXTINGUISHER ROBOT.
Fires are a major hazard that can cause significant damage to property and loss of life.
In many cases, fires can occur in hazardous environments where it is dangerous or impossible for human firefighters to intervene.
Fire extinguisher robots offer a potential solution to this problem by providing a way to autonomously detect and extinguish fires in these environments.
Similar to Poster Presentation (20)
Artificial intelligence (AI) + Sensors + Aeronautics
Artificial intelligence (AI) + Sensors + Aeronautics
Wireless Sensing by Passive Radiofrequency Identification: Research, Systems ...
Wireless Sensing by Passive Radiofrequency Identification: Research, Systems ...
Wireless Sensing by Passive Radiofrequency Identification: Research, Systems ...
Wireless Sensing by Passive Radiofrequency Identification: Research, Systems ...
PPT on Weather Monitoring System-converted (1).pptx
PPT on Weather Monitoring System-converted (1).pptx
Computer-Vision based Centralized Multi-agent System on Matlab and Arduino Du...
Computer-Vision based Centralized Multi-agent System on Matlab and Arduino Du...
Real-time, Sensor-based Monitoring of Shipping Containers
Real-time, Sensor-based Monitoring of Shipping Containers
Poster Presentation
- 1. DreQuan Riley Environmental Sensing Instrument (ESI) • Ubuntu Operating system • Raspberry PI Hardware • C++ • Lepton thermal IR camera • Arduino microcontroller • Robotics Operating System (ROS) • Python • C++ INTRODUCTION SOFTWARE Inspired by the Star Trek Tricorder, the ESI is a tool that is will be used for gathering environmental data. Environmental sensors are ideally suited for personal weather forecasts, micro-climate sensing and measuring air quality. • Perform a study on micro-climates in close proximity • Characterize what (if any) micro-climate indicators are present if there are mosquito breeding areas CHARACTERIZING MICRO-CLIMATE FOR ZIKA VIRUS RISK ASSESSMENT • Remote sensing of micro-climates in agricultural facilities • Augment robotics systems with remote sensing capabilities COMPONENT LAYOUT SYSTEM DESIGN: FUTURE USE CASE SCENARIOS GENERAL SENSING PLATFORM Preliminary SketchFirst Draft Top component of case Bottom component of case
- 2. • Controller • RPI, Arduino • gas sensors • CO,CH4, C2H6O, H • Gas Sensor Breakout Board • Photodiodes • Geiger Counter • GPS • Weather • Humidity, temp, pressure • Thermal IR camera • Color camera • Touch screen • Power System • Polymer Lithium Ion Battery • LiPo Charger Basic - Micro-USB
- 3. Detects radiation Analyses luminosity Subject to change Powers the ESL Determines gas levels Cortex of the ESI Optical and thermal viewing Interaction with Raspberry Pi Sensor interface