IoT, also know as the “Internet of Things”, is the application of connecting devices to the internet and to other internet connected products. The Internet of Things can be viewed as a collection of devices that share usage data and data of the environment around them. If integrated correctly, these devices can control the operations of other controlled devices; such as viewing security cameras with a mobile application. The term IoT refers to a range of smart devices from autonomous vehicles to smart refrigerators to wearable devices (such as smart watches and self-lacing shoes) and well beyond.
the interconnection of computing devices via the internet, which are embedded in everyday objects, enabling them to send and receive data
Steven had several IoT devices in his home, but he wanted one to control
his coffee maker as well.
With the help of artificial intelligence and machine learning, sophisticated sensors and chips are embedded in physical devices and connected to an Internet of Things (IoT) platform. This connection allows these devices to transmit data to the IoT platform as well as to other connected devices. The data transmitted between these devices includes how they interact with one another, how we interact with them, and how they interact with the environment around them.
By way of machine learning and the accumulation of data, IoT technology recognizes patterns within the data and can offer insights and recommendations on how to optimize a product (or the use of a product) based on its feedback. Beyond the mundane, IoT apps make it possible to automate complex actions.
For instance, a backpack manufacturer who is interested to find out which features of their backpacks are used most often could add sensors to different backpack components. These sensors could then tell the manufacturer how often any given feature is interacted with. The backpack manufacture may find out that people use the water bottle holder feature of their backpacks often, but rarely use the pencil pocket. The backpack manufacturer could then test those findings against sales data to identify similar patterns. If they find alignment across both datasets, they then have the insights necessary to optimize their decisions on backpack features, supply, pricing, and more. The metrics provided by IoT devices allow businesses to identify strategic opportunities for advancement based on easy to gather, real-world data.
While IoT platforms and IoT applications are still in their infancy, there are a couple of factors that indicate success in IoT solutions development:
The foundation of IoT is connectivity. To qualify as an IoT device the device must be able to connect to the internet and must be connected to one or more sensors or actuators. Connectivity not only refers to internet connections and hardware connections but also connections to other devices. An IoT device must be properly connected in order to receive and transmit data to and from its given IoT platform.
Although most don’t think of user experience when discussing IoT, proper UX Design is necessary for users to actually want to use your product. While design theory leads us so far, having an experienced UX Designer map out the proper flows and interaction designs will account for all touchpoints of your product to ensure intuitive features and functionality.
As IoT devices and platforms transmit sensitive data from a wide audience, securing data privacy features is a no brainer. Simply put: Data can not slip through the cracks! So how do developers prepare for data leaks and potential hacks? Precautionary measures must take place before development begins with ideation and implementation of security tactics around the IoT network, authentication, encryption, PKI, API and much more.
There are two approaches to data patterns that can be used to develop and iterate upon IoT products. First, there is cold-path analytics. Cold-path analytics is a way in which stored data is processed by machine learning algorithms to offer insights. Alternatively, there is hot-path analytics in which real-time data (not previously stored data) from the product sensors provides immediate feedback. Developing a database for tracking and analyzing this data will provide your IoT product with the infrastructure it needs to continually be improved for your target users.
IoT product development begins with determining the specifications of the connected platform. When building IoT software, you should first determine what is required of the hardware to keep your software running correctly. Taking such factors into account as hardware performance, battery life, and network capabilities minimizes overhead and ensures effective development from the beginning.
Our Lead Architect drafts a specification document that outlines the functions and features required for your IoT software to work as designed. Detailing user behaviors for each feature of your product, this document serves as a point of reference for our development team on how product features should work prior to code implementation.
Based on your product’s core functionalities, integrations, user flows, and designs, our Lead Architect drafts a document that scopes out the entirety of your IoT application's development. This document identifies frameworks, programming languages, and diagrams of how your software will integrate with your IoT device and how they will speak with each other.
Per our agile development practices, we produce 60% of your backlog up front and produce the remaining 40% of implementation tickets after development has begun. By adhering to an agile product backlog, our team is able to account for the unexpected while adhering to set timelines and budgets.
Our IoT developers build out your IoT software features step-by-step until each feature is ready for peer testing. While some of the developers build out the framework and architecture of your application, the rest work on your products services layer to ensure the IoT software and product can transmit data as needed.
From desk checks (which connect our developers with our designers and holds them accountable for proper feature implementation) to performance testing, our IoT testing practices take place throughout the entire development process. Our team performs a wide range of tests each step of the way to guarantee that your IoT software functions as intended at all times.
Your MVP (Minimum Viable Product) has now been built! At this point, we test your software with real-world users and gather their feedback on opportunities for improvement. Furthermore, we continue to develop any additional features that were outside the scope or you IoT MVP. This approach allows us to produce an IoT product that can be brought to market immediately, while lower priority features are implemented once your product is in beta.
SingleMind continues to exceed any measurable metric we give them… The MVP surpasses every expectation and deeply impresses demo testers. Through their meticulous planning, SingleMind transforms abstract concepts into tangible, innovative results. Their creative ideas, clear explanations, and enthusiastic commitment have enlivened and enhanced the process.