Grand Opportunity

Internet of Things

Navigating through the technology hype

What is the grand opportunity?

Advances in electronics are enabling the ubiquitous and continuous collection of data in factories, smart cities, smart buildings, remote locations – and of personal health data from individuals. In this technology area, known as internet-of-things (IoT), devices communicate and coordinate with each other and transmit detailed data via high-volume 5G cellular networks. The widespread connection of our world is poised to provide lucrative opportunities for automation and the creation of data-driven insights. CamIn can help guide your strategic decision-making process and prepare you to transform your business for this emerging hyper-connected world.

Billion dollars estimated financial impact of IoT sensors and devices through reducing costs, increasing efficiency, advancing health and safety, and improving compliance with regulations.


Percent of executive respondents from electric utilities who expected that "improved network performance from smarter grids" would be one of the "top drivers of earnings growth beyond 2025".

Which Industries Will Benefit The Most From IoT Technologies?

Download our latest insight identifying which industries will benefit the most from the Internet of Things over the next two years.
Which Industries Will Benefit The Most From IoT Technologies?

Sensor and RFID Technology

Cardiac Sensors

Medical-grade Cardiac sensors measuring electrical activity in the skin that are connected to smartphones are providing improved diagnostic monitoring of patients’ health in hospitals and at home. Data gathered through ubiquitous health sensors also creates opportunities for the early identification of pandemics.  With smart phone ownership being widespread, there is great opportunity for other industries (agriculture, oil and gas, logistics, etc.) to develop specialised sensors that report and analyse data through phones.

Radio-frequency ID

An radio-frequency ID (RFID) tag consists of a tiny radio transponder; a radio receiver and transmitter. When triggered by an electromagnetic interrogation pulse from a nearby RFID reader device, the tag transmits a response of digital data, usually an identifying inventory number, back to the RFID reader. Supplies fitted with inexpensive embedded RFID tags can be tracked automatically, allowing the precise management and control of inventories that must be carefully monitored, such as raw materials and ingredients used in food manufacturing. This accurate technology will soon be adopted in healthcare, pharmaceuticals, and other industries that require improved solutions for their complex inventory management problems.


Multi-input, Multi-output Technology

Multi-input, multi-output (MIMO) antenna technologies are used in 5G to make low-cost, low-power digital networks that can enable the remote control of agricultural equipment, smart buildings, and infrastructure in smart cities. Prototype installations are confirming the benefits of comprehensive, high-speed signal coverage compared to earlier networking technologies. In addition to applications in public infrastructure, 5G will enable IoT data communications in manufacturing and agriculture.

Edge Computing

Edge computing is the strategy of placing computing power used to analyse data closer to where the data are collected, to reduce communication latency time. For example, edge computing AI circuits are embedded in data-intensive smart city IoT devices to make remote operations “decisions”, with data communication via 5G. While early deployment has been in high-value scenarios, repetitive, routine task-monitoring and control will be facilitated by 5G in the food and beverages, healthcare, and chemical manufacturing industries.


Retinal Scanning

Retinal scan technology can be used to identify the unique pattern of blood vessels in the retina of a human eye, quickly and with very high precision. Know your customer (KYC) processes at bank and fintech companies are increasingly relying on retina scans to verify users’ identities and combat fraud. These technologies will soon be adopted by other industries for the verification of employee identities and for customer transactions, providing a greater level of security.

Facial Recognition

Facial recognition technology combines algorithms for face detection (finding a face in an image), face capture (converting the image to digital features), and face matching (comparing two sets of digital facial features to confirm a match). This technology can provide highly accurate results for security, border access, and safety applications, and may soon find new applications in the farm animal management, marketing, and healthcare sectors.



Over the next 2 years, new game-changing photonics technologies are unlocking business opportunities in the life sciences, agriculture, telecommunications, computing, photovoltaics, and automotive sectors. Through the ability to make technologies faster, smaller, smarter, and more energy-efficient, photonics are unlocking these opportunities through large transformational drivers such as mobility (e.g. LiDAR, digital mirror devices, and intelligence forward lighting), biometrics (e.g. textile illumination, palm vein and 3D facial recognition), connectivity (e.g. megastructure smart lighting, VR/MR/AR, gesture recognition), health & well-being (e.g. near-infrared spectroscopy, health-centric wearables, and urban farming systems).

Data Storage

Innovative data storage systems that are non-volatile,ultrafast, energy-efficient, and cost-effective will be crucial in addressingthe anticipated global demand for digital data, that is forecast to approach 175 trillion gigabytes by 2025. Key demand drivers include cloud computing, bigdata analytics, smart manufacturing, IoT sensing platforms, 5G, mobility, andtelemedicine. From big data centres to personal data storage solutions,short-term innovation opportunities provided by HAMR (heat-assisted magneticrecording), MAMR (microwave-assisted magnetic recording) and 3D NAND willdouble the areal density of data storage in 1-2 years. These technologies willalso improve other key indicators of the performance of data storage systems.

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