Most IoT devices capture and transmit data that enables continuous monitoring, ultimately leading to the detection of an event. Determining the accuracy or validity of that event based on the captured data is a real challenge in most IoT solutions.
For example, IoT shelves for retail environments, which can detect when a specific type of product needs restocking, must accurately determine the minimum and maximum quantities to maintain. This is critical so that the device itself can send alerts after a simple analysis.
In the case of dog collars with event detection that aims to protect the animal’s health, it is critical to identify both the ambient temperature and the dog’s body temperature, as well as its current activity level. Alerts are defined based on a state determined by the combination of these variables.
There is one fundamental decision in the development process of an IoT device: Where should the variables be analyzed to determine the event?
In the case of IoT sensors used to analyze behaviors on the seafloor, two approaches can be taken. One is to implement a hardware unit on the floating buoy, capable of receiving the variables and analyzing them to determine when a noteworthy event occurs and when it does not—triggering additional data transmission only when necessary. This strategy is commonly used to optimize energy consumption, as the connection required to transmit data is critical in most IoT solutions.
Another possible strategy would be to send the full data streams to the floating buoy and, from that point, perform scheduled transmissions to the data analysis centers, which are responsible for running their mathematical models to determine predictions and behavioral patterns.
There are always multiple paths when designing and developing an IoT prototype. For this reason, before taking the first step, we recommend conducting a technical study to compare these alternatives—not only in terms of technical feasibility, but also to identify the best approach for creating a product that can evolve in functionality over time, with the lowest possible cost.
If you have an innovative idea for an IoT product, we’ll be happy to assess its feasibility in advance and address the different challenges that may affect the product design.