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Smart Toilets and Excrement Analysis as a Service

Smart Toilets and Excrement Analysis as a Service

  • January 2019
  • 123 pages
  • ID: 5730148
  • Format: PDF
  • By Mind Commerce Publishing

Summary

Table of Contents

Overview:
A smart toilet is an intelligent bathroom plumbing fixture that incorporates traditional cleansing (for genital, buttocks and anus hygiene), with the added enhancement of excrement analysis enabled by various smart home technologies including sensors and communications. The Internet of Things (IoT) in healthcare (also known as IoHT) is fast-growing market. Integration of IoT within the healthcare diagnostics arena will be an important part of IoHT.

While the topic title of this report may at first seem amusing, it’s no laughing matter that cancer is one of the leading causes of death in the developed world, and colon cancer in particular is avoidable if detected early. Not everyone can afford or chooses to engage in a colonoscopy. Smart toilets may be used for early detection of both fecal-related and urine based pathogens and general health concerns. Most diagnostics will be available only via post-processing. However, some diagnostics, such as creatinine and other urine chemistry related items, may be available immediately. This would allow someone with a smartphone to literally engage in a self-check immediately upon doing their business.

Smart toilet sensors will undergo an evolution from current first generation sensor technology, which does not easily discriminate waste particles between users to next generation excrement sensors that do not rely upon fecal fidelity (e.g. not mix feces from two or more people as it will confuse the system) to those that can discriminate based on unique DNA of multiple toilet users. Second generation smart toilet sensors rely upon an excrement analysis insert, which much be replaced upon each use. Third generation sensors will be multi-user and self-cleaning. The latter is currently prohibitively expensive for mass consumer use.

Today’s systems require special equipment to analyze mouth-borne excrement (vomit, phlegm, and thick spit), which represents and enhanced smart toilet with hardened sensor technology that does not get easily clogged. While sensor technology currently has limitations based on environmental and sustainability issues, future sensors may also be able to detect the bathroom ambient environment, detecting airborne particles such as perfume (chemically sensitive people), flatulence, and even slight fluctuations in hormone levels.

With vast amounts of unstructured excrement data, Big Data Analytics will be an absolute requirement for Excrement Analysis as a Service (EAaaS). Future EAaaS software and systems will leverage Artificial Intelligence (AI) for both machine learning (to improve analytics) and as well as Dietary Decisions as a Service (DDaaS). The latter provides a key missing element in today’s healthcare, which is the ability to provide DDaaS information to end-users in near real-time. No longer will consumers be able to avoid the implications of the “what goes in comes out” reality of how important it is to “feed the machine” (e.g. human body) properly with healthy foods in general, as well as foods that are right for the body type, and health conditions of the individual.

With a rapidly growing aging population in the developed countries, the need for bidets and advanced excrement analysis intelligence fits well within the context of in-home healthcare, telemedicine, and general efficiency improvements that lead to lower overall healthcare costs. However, smart toilets will NOT become mainstream for several years. It is anticipated that most consumers will be reluctant to spend $1,000 on a toilet, causing most smart toilets to be found in new home construction targeted towards retirement and wealthy communities through 2024.

In an extreme example, Kohler’s $7,000 smart toilet has a built-in Amazon Alexa speaker. With built-in surround sound speakers, ambient mood lighting and Amazon Alexa voice controls, it represents what Mind Commerce would consider more of an ambient bathroom experience than a smart toilet in terms of diagnostic abilities. We expect to see more prototyping such this offering reach different sub-markets. Clearly this item is positioned for the luxury entertain-excrement market, which we believe will take much longer to become a mass-market item. Systems built specifically for healthcare will become common consumer items much sooner.

There will be a period of time in which prototyping and market tests will indicate consumer interest relative to a wide range of issues including life cycle cost savings (e.g. toilet and service costs vs. healthcare costs) and many factors related to end-user product expectations. Accordingly, smart toilets today are like airbags in cars in the 1980s – something that was considered a luxury add-on that later became standard equipment as the general public became increasingly aware and accepting of a device that acts autonomously on behalf of a human.

This report evaluates the smart toilet and excrement as a service market including technologies, companies, solutions, and market outlook. The report includes forecasts for new smart toilet sales, upgrades from basic toilet and bidet systems to fully functional intelligent toilets, components including basic and hardened sensor technology, wireless communications integration, and more. Companies interested in this report will also be interested in Smart Pill Delivery, Monitoring, and Diagnostics: IoT enabled Medicine and 3D Printing enabled Drug Delivery 2018 - 2023
Key Findings:
• Smart toilets and EAaaS will become an integral part of IoHT by 2030
• In-home adoption limited through 2024 as consumers beyond more aware
• Most smart toilets and sensor systems will initially be found in medical facilities
• Big data organizations are key to process heavy loads of health-related toilet data
• Healthcare organizations are very interested in receiving a constant stream of data
• Smart toilets will find mass acceptance beyond the initial prototyping and trial period
• Correlation with dietary data will add increased value and improve the voracity of info

Target Audience:
• Healthcare companies
• Sensor and IoT companies
• Home builders and renovators
• Retirement and aging suppliers
• Big data and analytics companies

Companies in Report:
• Aosman
• Bellma
• BEMIS
• ESTTETR
• GEBERIT
• HARO
• HUIDA
• JOMOO
• Kohler
• Lixil
• MEITU
• Micron Technologies
• MKW
• Panasonic
• POLOMINSA
• PRESSALIT SEATS
• R&T
• Roca
• Runner SANITARY WARE
• Toshiba
• TOTO
• Villeroy&Boch
• WDI

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