One of the hardest things in life is watching your parents grow old. As their senses fail, the simplest things become difficult or even impossible for them to do.
[kjepper]’s mom is slowly losing her sight. As a result, it’s hard for her to see things like the readout on the caller ID. Sure, there are plenty of units and phones she could get that have text-to-speech capabilities, but the audio on those things is usually pretty garbled. And yes, a smartphone can natively display a picture of the person calling, but [kjepper]’s mom isn’t technologically savvy and doesn’t need everything else that comes with a smartphone. What she needs is a really simple interface which makes it clear who’s calling.
Initially, [kjepper] tried to capture the caller ID data using only a USB modem. But for whatever reason, it didn’t work until he added an FSK–DTMF converter between the modem and the Pi. He wrote some Node.js in order to communicate with the Pi and send the information to the screen, which can display up to four calls at once. To make a mom-friendly interface, he stripped an old optical mouse down to the scroll wheel and encased it in wood. Mom can spin the wheel to wake the system up from standby, and click it to mark the calls as read. Now whenever Aunt Judy calls the landline, it’s immediately obvious that it’s her and not some telemarketer.
[Nick] and [Simon] both have home security systems with a monitoring service who will call whenever an alarm is tripped. For [Simon] this ends up happening a lot and he wanted to change the circumstances that would trigger a call. Because of company policy the service is inflexible, so he and [Nick] went to work cutting them out of the loop. What they came up with is this custom electronics board which monitors the security system and calls or texts them accordingly.
They started with the self-monitoring alarm system design we looked at back in September. This led to the inclusion of the SIM900 GSM modem, which is a really cheap way to get your device connected to the cellular network. It also uses a DTMF touch tone decoder to emulate the phone line to keep the security system happy. [Simon] highlights several changes he made to the design, as well as the reasons for them. One idea he has for a possible revision is to do away with the MT8870 chip which handles the touch tones. He thinks it may be possible to use the SIM900’s DTMF features to do that work instead.
[Lior] wanted to cancel the monitoring system for his home’s alarm, but he didn’t want to stop using the alarm all together. The trick is to rig up some way to monitor it himself. It would have been simple to have it just call him instead of the alarm company since the system just uses a telephone connection. But this would require that he have a land line for it to connect to, and when it calls him he would have no idea what part of the system had been set off. He developed a way to have the system text message him with all of the available details.
An Arduino controls the system, with a SIM900 GSM shield to hand the cell side of things. The board to the left emulates the standard telephone line, with an M8870 DTMF touch tone decoder to figure out what the alarm system is telling him. He also needed to implement touch tone generation to talk back to the system. His write-up includes links to other articles he posted about hardware, software, and protocol specifics.
We have no idea why, but since we featured Botiful, the Android-powered telepresence robot a few days ago, the tip line has been awash in robot/Android mashups. Here’s a few of the cool ones.
Using an Android as a remote control
[Stef] used a Samsung Galaxy S3 to control an old rc tank. The Android sends accelerometer and gyro data over Bluetooth to an Android where it powers a pair of H-bridges to turn the wheels.
Turning Android into a Robotic Operating System
ROS, or the Robot Operating System, provides a bunch of utilities for any type of robot such as point-cloud mapping to multi-joint arm control. [Lentin] sent in a guide on installing ROS on Android. So far, he can get accelerometer data, stills from the on-board camera, have the robot speak and use the small vibrator motor. Here’s a (somewhat limited) demo of [Lentin] playing with ROS in a terminal.
“Just a quick procrastination project”
Last May, [Josh] wrote in asking if a tread-based robot controlled through Skype would be a cool idea. We said ‘hell yeah’ and [Josh] scurried off to his workshop for a few months. He’s back with his tank-based robot. One really interesting bit is the robot responds to DTMF tones, allowing it to be controlled through Skype without any additional hardware. That’s damn clever. You can see a video of the SkypeRobot after the break.
Continue reading “Android controlled robot extravaganza”
Nope, no microcontroller here, just a full-blown cellphone used as the brains of this little robot. The secret behind how it works is in the sounds the phone makes. The touch tones, known as DTMF, are monitored by the circuit mounted on the front half of the chassis and are responsible for driving the motors.
[Achu Wilson] built the circuit around an MT8870 chip which decodes the DTMF sounds and uses the BCD output to feed some logic chips. A 4 line to 16 line decoder and an inverter chip format the signals for use as inputs to the L293D motor driver. The video after the break shows him driving the rover directly by pressing number on the phone (like a tethered remote control). But he mentions that it’s possible to call the phone and press the numbers remotely. We assume you need to connect the call manually as we see no way to automatically answer calls.
This is certainly a fun way to play around with the DTMF protocol.
Continue reading “GSM controlled car without needing a microcontroller”
If you’ve ever wondered about the best way to detect dial and DTMF tones from a phone line, [Debraj] is your man.
[Debraj] built a DTMF detector using the Goertzel algorithm. Normally, when we think about detecting tones, we pull FFT out of our bag of tricks. The Goertzel algorithm isn’t as computationally complex as FFT and can be implemented on even the smallest microcontrollers.
For the build, the first thing to solder is a nice audio transformer and some protection diodes. The ring tone from a phone line goes from +35 V to -35 V – a bit more than a microcontroller could handle. A PIC18F4520 dev board was used as the brain of the system with all the code is available on [Debraj]’s site.
Although implementations of the Goertzel algorithm are a little uncommon, [Debraj] has seen a few interesting projects using this technique. [Debraj]’s build could easily be modified into a guitar tuner with a few changes in the code, for example.
This project was built as the command and control for a home automation system and from the video after the break, we can’t wait for [Debraj] to get annoyed at the phrase, “To turn on the kitchen lights, please press 1…”
Continue reading “Detecting DTMF tones from scratch”
We’re all familiar with IVRS systems that let you access information using a touch-tone telephone. [Achu Wilso] built his own version which uses a cellphone, microcontroller, and computer.
The cellphone is monitored by an LM324 op-amp with an attached 555 timer chip. When a call comes in the voltage on the headphone output goes high, activating the timer circuit. If it goes low and does not go high again for about 25 seconds the call will be ended. Each incoming touch tone acts as a keepalive for the circuit.
An MT8870 DTMF (touch tone) decoder chip monitors the user input. An ATmega8 microcontroller grabs the decoded touch tones from that chip, and pushes them to a PC via USB. The PC-side software is written in Python, using MySQL bindings to access database information. eSpeak, the open source speech synthesizer software is used to read menu and database information back to the caller.
Not a bad little system, we wish there was an audio clip so we could hear it in action.