The Internet of Things is the concept of connecting any device that has an on/off switch to the Internet and to other connected devices. IoT devices collect and share data about the way they are used and about the environment around them, providing useful insight to businesses and consumers.
You might already use a few IoT devices and not even know it! Have a smart thermostat? Definitely, IoT. Those fancy fridges with touchscreens and a ton of features? Yup, IoT. Essentially, it’s most devices that are connected to Wi–Fi, Bluetooth, Cellular, or even ethernet that collect and transmit information automatically. Still unsure? Here’s a few of our Success Stories: Shine Bathroom, Gates, Motocrane.
The “things” in the Internet of Things can be any connected device that is not a smartphone or a computer – since we expect those to be connected. Almost anything can become a connected device such as thermostats, cars, air purifiers, and yes, even toilets. And we know a thing or two about IoT toilets.
Breadware offers a wide range of engineering services including electronics, firmware, software, and mechanical. We can help you take your idea to launch and anything in between, such as IoT strategy
The answer? It depends. Is this a fully custom product design or will there be components we can purchase “off the shelf”? Will we need to obtain certifications, or will we be able to leverage pre-certified parts? We’ve seen our fair amount of different IoT projects but, typically, none can be realistically finished in less than 12 months from concept to production. If it’s more of a “proof of concept” or one-off thing, like figuring out security vulnerabilities for an already existing product, then it will most likely take less time.
Again, it depends. There are tons of variables to consider including how complicated the product is, where you are in the design process, how much customization is needed, and what kind of resources are required. The reality is a project from beginning to end will cost upwards of $150K+.
They are aplenty; however, the main culprits tend to be an insufficient strategy, lack of design expertise in specific IoT applications (hint: that’s why we exist — contact us), and the use of custom components when there are comparable and affordable off the shelf options.
In house services are performed by the IoT engineering services firm you hire to develop your product. Out-of-house services performed by third party firms contracted by the primary firm to do work they don’t have resources on staff to do. Both are perfectly acceptable, just make sure you ask questions about what’s done in-house and out-of-house.
Vitally so. With literally every IoT device, you’re connecting to a network and transferring important data. Think about the endless number of components out there and how long they’ve been in existence. With adding a new component comes a potential threat to security of your product, solution, or system. Which could be incredibly costly in terms of monetary costs or brand reputation.
Generally, it’s a device that performs most of the required processing on board, as opposed to using the cloud. In many architectures, transmitting the data to the cloud is battery and time intensive, so processing at the edge is preferred if the system is capable to do it in a low-power way.
Machine Learning is a powerful tool that can be used to “train” your system to make predictions and uncover trends that were not foreseeable, and modern processors are getting more efficient at employing them “at the edge”, even on a battery, as opposed to needing cloud computing support. Essentially, a system can be made to learn from experience and get smarter over time as it processes more data. Examples include identifying manufacturing defects on an assembly line, counting the number of people or specific objects in a space, or even finding malicious payloads on a network, all without human interaction.