2. WEARABLE & IMPLANTABLE
TECHNOLOGIES
• Wearable and implantable technologies refer to a
category of devices that are designed to be worn on the
body or implanted within the body to provide various
functionalities and collect data. These technologies have
gained significant attention and advancement in recent
years due to their potential to enhance human
capabilities, monitor health, and provide convenient
access to information and services.
4. Heart Monitoring
•Heart monitoring involves the continuous or
periodic measurement and recording of a
person's heart activity to assess their
cardiovascular health, detect abnormalities,
and provide valuable data for medical diagnosis
and treatment. Heart monitoring can be done using
various technologies and methods, both
wearable and implantable.
6. Monitoring Parkinson’s
• Monitoring Parkinson's disease involves the continuous
or periodic assessment of a person's symptoms, motor
function, and overall well-being to manage the
progression of the disease and optimize treatment
strategies. Parkinson's disease is a neurodegenerative
disorder that primarily affects movement, causing
symptoms such as tremors, rigidity, bradykinesia
(slowness of movement), and postural instability.
8. Smart Tattoos
•Smart tattoos, also known as electronic tattoos
or e-tattoos, are an emerging technology that
combines traditional tattoo art with electronic
components to create functional and interactive
devices that can be applied directly to the skin.
These tattoos offer a range of capabilities, from
monitoring health metrics to providing interactive
user experiences.
10. Dermally-Implanted Sensors
• Dermally-implanted sensors are a type of wearable
technology that is inserted or implanted beneath the
skin to monitor various physiological parameters and
transmit data wirelessly to external devices for
analysis. These sensors are designed to provide
continuous and real-time monitoring of specific health
metrics, allowing for early detection of medical
conditions, personalized treatment, and improved patient
care.
12. Real-Time Language Translators
• Real-time language translators are devices or software
applications that enable instant translation of spoken or
written language from one language to another. These
translators use advanced technologies, such as natural
language processing (NLP) and machine learning, to process
and translate language in real time. They have become
increasingly popular for facilitating communication between
individuals who speak different languages and for breaking down
language barriers in various contexts.
15. 1. Google’s Pixel Bud earbuds
Work with Android devices which translate
between up to 40 languages (Google also offers
Google Translate and Word Lens, which translates
words in photographs).
17. 2. Waverley Lab’s pilot system
Consists of two earpieces shared between two people
who don’t speak the same language. Similar devices,
including Translate One2One, have also been
announced.
23. Home Automation
• Home automation, also known as smart home
technology or domotics, refers to the integration of
various electronic devices, appliances, and systems
within a residence to enable centralized control,
automation, and remote monitoring. The goal of home
automation is to enhance the convenience, comfort,
energy efficiency, security, and overall functionality of a
home through the use of technology.
24. Home Automation Developments
• Home automation technology has rapidly evolved over
the past few years, with advancements in connectivity,
artificial intelligence, and user interfaces.
25. Some notable developments in the
field of home automation:
1. Voice Control Integration: Voice assistants like Amazon Alexa, Google Assistant, and
Apple Siri have become central to many smart home setups. Integration with these voice
platforms allows users to control various devices and systems using natural language
commands.
2. Interoperability and Standards: The adoption of common communication protocols
and standards (such as Zigbee, Z-Wave, and Thread) has improved the compatibility of
devices from different manufacturers. This makes it easier to create comprehensive and
integrated smart home ecosystems.
3. Edge Computing and Local Processing: Many smart devices are now equipped with
edge computing capabilities, allowing them to process data locally rather than relying
solely on cloud-based services. This can enhance response times, privacy, and
reliability.
26. Some notable developments in the
field of home automation:
4. Improved Security Measures: With the increasing number of connected devices,
ensuring the security of smart homes has become a priority. Manufacturers are
implementing stronger encryption, authentication, and security measures to protect user
data and prevent unauthorized access.
5. Advanced Energy Management: Smart thermostats and energy monitoring systems
have become more sophisticated in optimizing energy usage. These devices can learn
user preferences, adjust settings based on occupancy, and provide insights into energy
consumption patterns.
28. Remote Control
• Remote control refers to a device or technology that
allows users to operate and control electronic
devices and systems from a distance, typically
without direct physical contact. Remote controls are
used in various applications, ranging from
entertainment systems to home automation,
industrial equipment, and more. They provide
convenience by eliminating the need to interact directly
with the controlled device.
29. Key aspects of remote control:
1. Types of Remote Controls: Remote controls come in different forms, including handheld
remotes, smartphone apps, voice-controlled assistants, and computer software. The
type of remote control depends on the technology used and the device being controlled.
2. Wireless Communication: Most remote controls use wireless communication
technologies to transmit commands from the user to the controlled device. Common
wireless technologies include infrared (IR), radio frequency (RF), Bluetooth, and Wi-Fi.
3. Entertainment Devices: Remote controls are commonly associated with entertainment
devices such as TVs, audio systems, gaming consoles, and streaming devices. They
allow users to adjust volume, change channels, play media, and navigate menus from a
distance.
4. Home Automation: Remote controls play a significant role in home automation by allowing
users to control smart devices like lights, thermostats, locks, and security cameras.
This enables users to manage their homes remotely and automate various tasks.
5. Industrial Applications: Remote control technology is widely used in industries such as
manufacturing, construction, and logistics. It allows operators to control heavy
machinery, cranes, robotic systems, and other equipment from a safe distance.
30. Key aspects of remote control:
6. Automotive Key Fobs: Automotive remote controls, also known as key fobs,
enable users to lock and unlock their vehicles, start the engine remotely, and
control features such as windows and trunk release.
7. Universal Remote Controls: Universal remote controls are designed to operate
multiple devices from different manufacturers. They are popular for simplifying
control over various entertainment devices using a single remote.
8. Voice-Controlled Remote Controls: Voice-controlled remote controls, often
integrated with virtual assistants like Amazon Alexa or Google Assistant, allow
users to issue commands using voice recognition technology.
9. Smartphone Apps: Many devices can be controlled using dedicated
smartphone apps. These apps connect to the device via Wi-Fi or Bluetooth and
offer a user-friendly interface for remote operation.
10. Home Security: Remote control technology is used in home security systems
to arm and disarm alarms, monitor security cameras, and receive alerts about
potential intrusions.
32. Energy Efficiency
• Energy efficiency refers to the practice of using energy in a
more efficient and economical way while achieving the same
level of output or desired results. It involves reducing energy
waste, minimizing energy consumption, and optimizing
energy use in various sectors, including residential,
commercial, industrial, and transportation. Energy efficiency
is a crucial strategy for conserving resources, reducing
greenhouse gas emissions, and promoting sustainable
development.
34. Natural Language Processing
• Natural Language Processing (NLP) is a subfield of artificial
intelligence (AI) that focuses on enabling computers to
understand, interpret, and generate human language in a way
that is both meaningful and useful. NLP involves the
interaction between computers and natural language, allowing
machines to process and analyze text or speech data. NLP
technology enables computers to comprehend and respond to
human language, making it a foundational technology for
applications like language translation, chatbots, sentiment
analysis, and more.
36. Integrated Sensors
• Integrated sensors refer to sensors that are built into
devices or systems to monitor various environmental,
physical, or physiological parameters and provide data for
analysis, control, or feedback. These sensors are designed
to seamlessly function as part of the larger device or system,
often without being explicitly noticeable to the user.
Integrated sensors play a crucial role in numerous
applications across various industries, including consumer
electronics, automotive, healthcare, industrial automation,
and more.
38. Virtual reality
• Virtual reality (VR) is a technology that immerses users in a
computer-generated environment or simulation, creating a
sense of presence and interaction within a digital world. VR
technology typically involves the use of specialized headsets
or goggles that display virtual scenes and environments to
users. These scenes can be entirely fictional or based on
real-world places and scenarios. VR aims to provide a highly
immersive and interactive experience, allowing users to feel
as though they are physically present in the virtual
environment.
40. Augmented Reality
• Augmented Reality (AR) is a technology that overlays
digital information, images, or virtual objects onto the
real-world environment, enhancing the user's perception
of their surroundings. Unlike virtual reality, which
immerses users in a completely digital environment, AR
enhances the real world by adding digital elements that
users can interact with. AR can be experienced through
various devices, including smartphones, tablets, smart
glasses, and other wearable devices.
42. Mesh Networks
• A mesh network is a type of network topology in which
devices (nodes) are interconnected in a decentralized and
redundant manner. Each node in a mesh network is
connected to multiple other nodes, creating a network where
data can be relayed from one node to another to reach its
destination. Mesh networks offer advantages such as
robustness, scalability, and self-healing capabilities, making
them suitable for various applications, including wireless
communication, home automation, and industrial systems.
44. Big Data Analytics
• Big data analytics refers to the process of examining and
extracting valuable insights from large and complex datasets
that exceed the capabilities of traditional data processing
methods. Big data encompasses vast amounts of structured
and unstructured data generated from various sources, such
as social media, sensors, transactions, and more. Big data
analytics involves using advanced techniques, technologies,
and tools to process, analyze, and derive meaningful
patterns, trends, and correlations from this data.
46. 1. Descriptive Analytics - Descriptive analytics is the initial stage of data
analysis that focuses on summarizing and understanding historical data to gain
insights into past events and trends. It involves examining data to answer
questions like "What happened?" and "What are the key patterns and trends in
the data?" Descriptive analytics provides a foundational understanding of the
data, serving as a basis for further analysis and decision-making
2. Diagnostic Analytics - Diagnostic analytics is a stage of data analysis that
goes beyond descriptive analytics and aims to understand the reasons behind
observed patterns or events in historical data. It involves delving deeper into
the data to identify the underlying causes of certain outcomes or anomalies.
Diagnostic analytics seeks to answer questions like "Why did it happen?" and
"What were the factors that led to a particular outcome?" By exploring
correlations and relationships within the data, organizations can gain a better
understanding of the factors influencing their operations and performance.
47. 3. Predictive Analytics - Predictive analytics is a stage of data analysis that
uses historical data and statistical algorithms to make predictions about future
events or outcomes. It involves building models based on historical patterns and
trends to forecast what might happen next. Predictive analytics seeks to answer
questions like "What is likely to happen?" and "What are the potential outcomes
based on historical data?" By identifying potential scenarios and trends,
organizations can make informed decisions and take proactive actions to
optimize their strategies.
4. Prescriptive Analytics - Prescriptive analytics is the advanced stage of data
analysis that builds upon descriptive and predictive analytics to provide
recommendations and decision options for optimizing outcomes. It involves
using data, models, and algorithms to suggest actions that can be taken to
achieve desired results or mitigate potential issues. Prescriptive analytics seeks
to answer questions like "What should we do?" and "What actions will lead to the
best outcome?" By combining insights from historical data, predictive models,
and business rules, organizations can make informed decisions and take
proactive steps to improve their strategies.
49. Mobile Money
• Mobile money refers to a digital financial service that allows
individuals to perform financial transactions, such as transferring
money, making payments, and accessing other financial services,
using a mobile phone or mobile device. Mobile money services
have gained significant popularity in regions where traditional
banking infrastructure is limited, offering a convenient and
accessible way to manage finances. Mobile money has
transformed the way people conduct transactions and manage
their money, especially in areas with limited access to traditional
banking services.
51. Solar Power
• Solar power, also known as solar energy, is renewable
energy derived from the sun's rays. It involves the
conversion of sunlight into usable electricity using solar
panels or photovoltaic cells. Solar power is considered a
clean and sustainable energy source that produces no
greenhouse gas emissions or air pollutants during its
operation. It has gained prominence as a viable
alternative to conventional fossil fuels for generating
electricity.
53. Electric Vehicles
• Electric vehicles (EVs) are automobiles that are
powered by electricity stored in rechargeable batteries,
rather than internal combustion engines fueled by
gasoline or diesel. EVs produce zero tailpipe emissions,
making them a more environmentally friendly
transportation option compared to traditional vehicles.
Electric vehicles are gaining popularity due to their
potential to reduce greenhouse gas emissions and
dependence on fossil fuels.
55. Next-Generation Batteries
• Next-generation batteries refer to advanced battery
technologies that aim to improve the performance, energy
density, lifespan, safety, and sustainability of energy storage
solutions. These batteries are designed to address the
limitations of current battery technologies, such as lithium-ion
batteries, and to enable new applications and industries,
including electric vehicles, renewable energy storage,
consumer electronics, and more. Next-generation batteries
play a crucial role in advancing various technological
domains.
