The cooker hood is a wonderful invention for removing excess fumes and steam from the kitchen. But like all electrically-powered devices, it only works when it is turned on. This was the problem facing [Peter], whose family are enthusiastic cooks who frequently forget to hit that switch. His solution? An automatic cooker hood switch that comes on when the cooker is in use, and stays on long enough afterwards to fully dissipate the fumes.
At its heart is a current transformer on the 3-phase stove power line, and we’re treated to a lesson in reading from these devices with an Arduino. They have a shunt resistor across which to produce a voltage, and their AC output is placed upon a reference DC voltage to supply the microcontroller pin. The impedance is quite high, so when the sensor had to be placed a distance from the microcontroller it necessitated an op-amp buffer. The readings then cause the Arduino to trigger a pair of relays to switch on or off the cooker hood. We can imagine that the family kitchen is thus a much pleasanter environment for it.
Cookers can also provide quite a hazard when they are left on. To that end, we’ve also featured a cooker alarm in the past.
The build consists of a whole heap of hardware all lumped in a sizeable plastic tub. A washing machine solenoid lets water into the system, and it’s heated by an element in the base of the tub. It’s then pumped through a garden sprinkler head to give the dishes a good all-over spraying. At the end of a wash cycle, the drain pump then dumps the water to let everything dry off. An ESP8266 and a bank of relays are in place to run the show, with the user selecting wash programs via buttons and a small screen.
More people are making sourdough at home than ever before, and while it may not take a lot of effort to find a decent recipe, it’s quite another thing to try using recipes to figure out how and why bread actually works. Thankfully, [Makefast Workshop] has turned copious research and hundreds of trials into a dynamic sourdough (and semi-sourdough) bread recipe chock-full of of drop-down options to customize not just ingredients, but baking methods and other recipe elements as well. Want to adjust quantities or loaf styles? Play with hydration or flour type? It’s all right there, and they even have quick-set options for their personal favorites.
In order to do all this, [Makefast Workshop] needed to understand bread at a deeper level than is usually called for. During research, they observed that the format of recipes was often an obstacle to understanding how good bread actually gets made. The reason for this is simple: recipes are presented as standalone documents describing a fixed process; a set of specific steps that, when followed, yield a particular result. What they do not normally do is describe the interplay and balance between ingredients and processes, which makes it difficult to understand how and why exactly the recipe produces what it does. Without that knowledge, it’s impossible to know what elements can be adjusted, and how. The dynamic recipe changes all that.
[Makefast Workshop] performed hundreds of tests, dialing in parameters one by one, to gain the insights needed to populate their dynamic recipe. It’s got clear processes and drop-down options that dynamically update not just the recipe steps, but also the URL. This means that one can fiddle the recipe to one’s desire, then simply copy and paste the URL to keep track of what one has baked.
Many of the biggest stars are hesitant to do sequels, believing that the magic captured the first time around is hard to reproduce in subsequent productions. As I’m known (at least around the former closet that now serves as my home office) as the “Meryl Streep of Teardowns”, I try to follow her example when it comes to repeat performances. But if they could get her to come back for another Mamma Mia film, I suppose I can take a look at a second Quirky product.
This time around we’ll be looking at the Quirky Egg Minder, a smart device advertised as being able to tell you when your eggs are getting old. Apparently, this is a problem some people have. A problem that of course is best solved via the Internet of Things, because who wouldn’t pay $80 USD for a battery-powered WiFi device that lives in their refrigerator and communicates vital egg statistics to an online service?
As it turns out, the answer to that question is “most people”. The Egg Minder, like most of its Quirky peers, quickly became a seemingly permanent fixture of retailer’s clearance shelves. This particular unit, which I was able to pick up new from Amazon, only cost me $9.99. This is still more than I would have paid under normal circumstances, but such sacrifices are part and parcel with making sure the readers of Hackaday get their regular dose of unusual gadgetry.
You may recall that our last Quirky device, the “Refuel” propane tank monitor, ended up being a fantastically engineered and built piece of hardware. The actual utility of the product was far from certain, but nobody could deny that the money had been spent in all the right places.
What will the internals of the Egg Minder reveal? Will it have the same level of glorious over-engineering that took us by surprise with the Refuel? Will that zest for form over function ultimately become the legacy of these Quirky devices, or was it just a fluke? Let’s crack this egg and find out.
There are many ways to keep critical appliances running during a power outage. Maybe a UPS for a computer, a set of solar panels to charge your phone, or even a generator to keep your refrigerator or air conditioning working. This modification to a standard blender will also let you ride through a power outage while still being able to make delicious beverages. It runs on gasoline.
The build uses an old chainsaw to power the blades of the blender. [Bob] was able to design and build an entirely new drivetrain to get this device to work, starting by removing the chainsaw chain and bar and attaching a sprocket to the main shaft of the motor. A chain connects it to a custom-made bracket holding part of an angle grinder, which supports the blender jar. Add in a chain guard for safety and you’ll have a blender with slightly more power than the average kitchen appliance.
The video of the build is worth watching, even if your boring, electric-powered blender suits your needs already. The shop that [Bob] works in has about every tool we could dream of, including welders, 3D printers, band saws, and even a CNC plasma cutter. It reminds us of [This Old Tony]’s shop.
“If you wish to make an apple pie from scratch, you must first invent the universe.” [Carl Sagan]. If you wish to make preserved lemons the same way as [Uri Tuchman], you have to start with that mentality. Video also below. The recipe for [Uri]’s preserved lemons involves two ingredients see sea salt, and sliced lemons, but we don’t expect you came here looking for a recipe and the food is less important than the journey.
Recipes take for granted that we have all the necessary utensils on hand, but what if you are missing one? What if you are missing all of them? Life’s lemons won’t get the best of us, and if we’re utensil-poor and tool-rich we will make those lemons regret trying to take a bite out of us. The first fixture for cutting lemons is a cutting board, then a knife, and finally an airtight container. We see him make all of them from stock material by hand. Does that seem like a lot of work? You forgot that if you’re going to eat up, you’ll need a serving platter and fork. If he ever opens a restaurant, don’t expect it to be fast food.
The current wave of excitement around machine learning kicked off when graphics processors were repurposed to make training deep neural networks practical. Nvidia found themselves the engine of a new revolution and seized their opportunity to help push frontiers of research. Their research lab in Seattle will focus on one such field: making robots smart enough to work alongside humans in an IKEA kitchen.
Today’s robots are mostly industrial machines that require workspaces designed for robots. They run day and night, performing repetitive tasks, usually inside cages to keep squishy humans out of harm’s way. Robots will need to be a lot smarter about their surroundings before we could safely dismantle those cages. While there are some industrial robots making a start in this arena, they have a hard time justifying their price premium. (Example: financial difficulty of Rethink Robotics, who made the Baxter and Sawyer robots.)
So there’s a lot of room for improvement in this field, and this evolution will need a training environment offering tasks of varying difficulty levels for robots. Anywhere from the rigorous structured environment where robots work well today, to a dynamic unstructured environment where robots are hopelessly lost. Lab lead Dr. Dieter Fox explained how a kitchen is ideal. A meticulously cleaned and organized kitchen is very similar to an industrial setting. From there, we can gradually make a kitchen more challenging for a robot. For example: today’s robots can easily pick up a can with its rigid regular shape, but what about a half-full bag of flour? And from there, learn to pick up a piece of fresh fruit without bruising it. These tasks share challenges with many other tasks outside of a kitchen.
This isn’t about building a must-have home cooking robot, it’s about working through the range of challenges shared with common kitchen tasks. The lab has a lot of neat hardware, but its success will be measured by the software, and like all research, published results should be reproducible by other labs. You don’t have a high-end robotics lab in your house, but you do have a kitchen. That’s why it’s not just any kitchen, but an IKEA kitchen, to take advantage of the fact they are standardized, affordable, and available around the world for other robot researchers to benchmark against.
Most of us can experiment in a kitchen, IKEA or not. We have access to all the other tools we need: affordable AI hardware from Google, from Beaglebone, and from Nvidia. And we certainly have no shortage of robot arms and manipulators on these pages, ranging from a small laser-cut MeArm to our 2018 Hackaday Prize winner Dexter.