With world oceans ranging in cleanliness from pretty nasty to OMG, we need to get a handle on what exactly is going on. High School students from Hackensack, NJ built the Intellibuoy, a floating water quality sensor. The buoy has an anemometer and digital rain gauge up top, as well as a LED beacon to comply with maritime regulations.
Flotation is provided by a framework of sealed 3/4″ and 3″ PVC pipes that look strong enough to protect the electronics from a casual boat-bump. High above the water (under ideal conditions) there is the waterproof control box, packing two Arduino UNOs which listen to the sensors. A turbidity sensor measures how much silt is in the water; the other sensors measure Ph, dissolved oxygen, and temperature. The sensor pod is suspended inside a double ring of PVC for maximum protection. Each ‘Duino also has a SD card shield that stores the data of the respective sensors.
Continue reading “Intellibuoy Keeps Track of the Water”
Graphene has attracted enormous interest for electrically detecting chemical and biological materials. However, because the super material doesn’t act like a normal semiconductor, transistors require multiple layers of the material, and that’s bad for 1/f noise especially when the transistors operate at maximum transconductance. Researchers have found a way to operate graphene transistors at a neutral point, significantly reducing 1/f noise while not impacting the sensor’s response.
The team created a proof-of concept sensor that could detect an HIV-related DNA hybridization. The sensor was able to detect very tiny concentrations of the material.
Continue reading “Graphene Biosensors are Extra Quiet”
For the last few months, I had been using Sparkfun’s Phant server as a data logger for a small science project. Unfortunately, they’ve had some serious technical issues and have discontinued the service. Phant was good while it lasted: it was easy to use, free, and allowed me to download the data in a CSV format. It shared data with analog.io, which at the time was a good solution for data visualization.
While I could continue using Phant since it is an open-source project and Sparkfun kindly releases the source code for the server on Github, I thought it might be better to do some research, see what’s out there. I decided to write a minimal implementation for each platform as an interesting way to get a feel for each. To that end, I connected a DHT11 temperature/humidity sensor to a NodeMCU board to act as a simple data source.
Continue reading “Review: IoT Data Logging Services with MQTT”
The Personal Guardian is a wearable tracking and monitoring device intended to help vulnerable people. The project goal is to allow these patients as much independence and activity as possible without a caregiver needing to be present. Wearing a sensor package might allow a memory care patient (for instance) greater freedom to wander.
The device consists of an Arduino 101 development board with a GSM shield that it uses to send SMS messages to the caregiver — for instance, if the accelerometer shows the patient fell over, or moved beyond certain GPS coordinates. Furthermore, the care-giver can monitor the device to determine the device’s status, and sees the patient’s heart rate thanks to a BLE sensor strap.
The patient can also press a panic button or toggle through a series pre-set SMS messages. In terms of complexity, the project’s creator [Ray Lynch] intended the interface to be simpler than a smart phone.
It seems like no one should need to be reminded about the importance of not leaving children in cars, but it still happens. The Fochica project is a Hackaday Prize entry that equips the family minivan with car seat monitors—the name comes from FOrgotten CHild in Car Alert.
It’s an Open Source project consisting of a Bluetooth LE-equipped Arduino that monitors whether the seat is empty or occupied. Paired with a phone app, Fochica monitors pressure sensors and the seat belt’s reed switch to determine whether there’s a kid there. The user’s app checks whether he or she is within Bluetooth range of the car, while also checking whether the kid’s seat is occupied. When the first comes up false and the second true, an alert is sounded.
We could see this technology also being useful for home automation tasks–for instance, reminding you to close the garage door before you go to bed. It’s a great project, and also one of the finalists in the Best Product challenge of the Hackaday Prize this year.
Continue reading “Hackaday Prize Entry: Fochica Alerts You”
What will it take to make your house smarter than you? Judging from the price of smart appliances we see in the home centers these days, it’ll take buckets of cash. But what if you could make your home smarter — or at least more observant — with a few cheap, general purpose “supersensors” that watch your every move?
Sounds creepy, right? That’s what [Gierad Laput] and his team at the Carnegie Mellon Human-Computer Interaction Institute thought when they designed their broadband “synthetic sensor,” and it’s why they purposely omitted a camera from their design. But just about every other sensor under the sun is on the tiny board: an IR array, visible light sensors, a magnetometer, temperature, humidity, and pressure sensors, a microphone, PIR, and even an EMI detector. Of course there’s also a WiFi module, but it appears that it’s only for connectivity and not used for sensing, although it clearly could be. All the raw data is synthesized into a total picture of the goings on in within the platform’s range using a combination of machine learning and user training.
The video after the break shows the sensor detecting typical household events from a central location. It’s a powerful idea and we look forward to seeing how it moves from prototype to product. And if the astute reader recognizes [Gierad]’s name, it might be from his past appearance on these pages for 3D-printed hair.
Continue reading “Sense All the Things with a Synthetic Sensor”
Zaragoza, Spain hacklab La Remolacha (“The Beet”) sports a logo which responds to human interaction with a beet plant growing in the space. Sensors keep track of temperature as well as humidity for both air and ground, while buttons add more water, plant food, light, and music.
The shape and activity of the visualization responds to the sensors. The higher the temperature, the more folds in the shape. More distortions appear when there’s more humidity in the soil, while rotation speed increases with air humidity. Adding food increases the size of the visualization, and music triggers more vibrations.
An Arduino keeps track of the buttons and humidity sensors, while a nearby computer, connected via USB, sends the data to a node.js server. The data are displayed on the website through the torus visualization, which is done in WebGL.
The beet’s environment also signals the health of the space, because if no one is visiting, no one can feed the plant. On the other hand, could too many visitors actually kill the thing?
The project was created by [Innovart], [Miguel Frago], and [Santi Grau] with help from other folks.
Thanks [Esther Borao Moros] for the tip!
Continue reading “Hacklab’s Logo Changes with the Habitat of a Beet Plant”