Explore solutions built for your industry

Our customer-proven solutions monitor medications and food inventories for some of the most recognizable names in the industries of healthcare, food service, and transportation, and logistics. See how our solutions adapt to your industry needs.

SEE SOLUTIONS

BY INDUSTRY

Healthcare

Explore solutions for pharmacies, and laboratories.

See solutions

Food Service

Explore solutions for restaurants, grocery, and hospitality.

See solutions

Transportation & Logistics

Explore solutions for meeting FSMA/CDC compliance.

See solutions

System Overview

Share SmartSense Solutions with your team.

DOWNLOAD BROCHURE

LEARN

ROI Calculators

See how much time and money you can save with SmartSense.

Calculate ROI

Datasheets

Review technical specifications for our solutions.

See datasheets

Resource Center

Work smarter. Explore our videos, webinars, and customer stories.

See resources

Questions? Contact us.

Call +1 (866) 806-2653 to speak with our experts or get started with a demo.

CONTACT US

About Us

SmartSense was created to use the power of the Internet of Things (IoT) to help our customers protect the assets most critical to the success of their business.

See our story

Careers

Create the future of IoT by joining our team.

See job openings

CONNECT. PROTECT. RESULTS.

August 16, 2021

The Future of Environmental Monitoring: Deep Learning and Artificial Intelligence

Written by Steve Habermas | Artificial Intelligence, Innovation

In a previous post, I laid out the SmartSense philosophy of IoT innovation. As a quick recap, our engineers are always guided, first and foremost, by solving our customers’ real-world business problems. This practical approach makes it super easy for our customers to:

    • Install and onboard our solution
    • Ensure assets are monitored properly
    • Maintain compliance and meet SOPs
    • Gain insights from the data to help optimize business processes

In this post, I want to talk about how new and exciting innovations in the Internet of Things (IoT) space will enable SmartSense to evolve our environmental monitoring solution.

 

Around the Corner: Additional Environmental Monitoring Sensors

Currently, SmartSense is the state-of-the-art temperature and humidity monitoring company. Where do I see we can add value for our customers in the future?

As an IoT environmental conditioning company, there's a natural tendency for us to add additional sensing capability to help our customers obtain better controls, cost reduction, and business optimization opportunities. These innovations are just around the corner, and we will certainly introduce new sensors in the future.


Taking advantage of the incredible amount of data collected from sensors, we’ll provide more comprehensive environmental monitoring solutions that will provide transformative opportunities for our customers.


How will this be beneficial? By optimizing, maximizing, and expanding our data from a growing host of sensors, we can help customers take even more cost out of their business and get an even greater ROI.

For example, we could combine our temperature data with new data, such as power or gas monitoring. That, in turn, will enable us to provide new insights, for instance, about problems with the compressors in refrigeration or freezer units. We envision offering predictive maintenance recommendations to help our customers fine-tune their investments.

Taking advantage of the incredible amount of data collected from sensors, we’ll provide more comprehensive environmental monitoring solutions that will provide transformative opportunities for our customers.

 

The Promise of Artificial Intelligence & Deep Learning

Artificial Intelligence (AI) is rightfully getting a lot of important buzz, and it's no longer hype. In fact, SmartSense will continue to invest in AI research and development.


Today, deep learning techniques can automatically extract the relevant features without human intervention. That’s a revolutionary benefit since deep learning can provide insights human analysts might not be able to achieve on their own.


The roots of AI go back to the 1930s and 1940s. At that time, Alan Turing, a well-known computer scientist, came up with what is called the “Turing test.” It states that, if a user interacts with a human and a machine but can’t tell the difference, that’s pretty good proof of artificial intelligence.

As AI evolved over the decades, the concept of “machine learning” emerged, which refers to the capacity for a computer to use data to figure out complex relationships. Fast forward to today – our computer resources and available data sets have advanced significantly. Currently, the state-of-the-art of machine learning is now referred to as “deep learning,” which can manipulate a massive amount of data to extract relationships using complex neural networks.

In the past, with machine learning, human scientists were required to extract the features relevant to the data set. Today, deep learning techniques can automatically extract the relevant features without human intervention. That’s a revolutionary benefit since deep learning can provide insights human analysts might not be able to achieve on their own.

 

On the Horizon: Anomaly Detection

Deep learning requires a massive amount of data and a massive amount of computing capability. SmartSense has both. We, therefore, are well-positioned to make practical applications of AI and deep learning to help our customers.


We can collect data along every link of the value chain that touches businesses. And the more data that we have, the better the insights we can offer.


One of our competitive advantages is that SmartSense provides an end-to-end solution: from sensor to gateway to cloud to web UI to mobile applications to analytics. That means that we can collect data along every link of the value chain that touches businesses. And the more data that we have, the better the insights we can offer.

On the horizon ahead, I envision several practical applications that will leverage big data and AI to help our customers achieve operational excellence with their task management program. For example, imagine our software being able to detect subtle anomalies regarding how your staff is completing checklists in a similar way that credit card companies detect potentially fraudulent transactions. This would enable us to provide insights on whether tasks are being completed correctly or not. We can in turn provide actionable intelligence on which stores or sites are performing better than others regarding checklists, and which stores or sites to focus on for business process improvements.

 

The Future is Now

The convergence of IoT, cloud computing, big data, and AI is enabling SmartSense to innovate faster and faster with every passing year. That’s why it’s important to get on board with the digital transformation today. The sooner you start collecting data from your business, the easier it will be to take full advantage of tomorrow’s AI-enabled innovations.

 

steve headshot-1Steve Habermas has been Chief Technology Officer at SmartSense by Digi since July of 2020. He graduated from the U.S. Naval Academy with a BS in electrical engineering, Georgia Tech with an MS in electrical engineering, and UC Berkeley with an MBA. Steve began his career as a submarine officer in the U.S. Navy before transitioning to the commercial software product industry. If you have a question about this post, you can contact him at Steve.Habermas@digi.com.

Subscribe to the SmartSense Blog


Stay up-to-date with the latest news in food and pharmacy safety, facilities monitoring, and supply chain visibility.