Addressing Power Consumption with ADI MAX78000

The combination of artificial intelligence (AI), the Internet of Things (IoT), and industrial automation achieves more than previous generations could have dreamed of. Still, amid all the advancements and success, at least one challenge persists: microcontrollers for AI applications require significant power, leading to additional complications. Generally, the more influential the AI, the more power it requires.

Figure 1. Artificial Intelligence combined with the Internet of Things and industrial automation achieves beneficial results, but often at the cost of excessive power consumption. Image provided courtesy of Pixabay.

However, engineers do not have to settle for high-power AI chips. This article reviews the issues with AI and power and then discusses how the ADI MAX78000 addresses these power problems with ultra-low power consumption. It also includes a reference design to show how engineers can use the hardware.

AI and Power Consumption

An article in Scientific American points out the tremendous amount of electricity used by AI, much of it for the training and inference phases and for cooling the systems involved in the process. This energy consumption will become a greater problem as AI technology implementation grows. This issue does not only affect large-scale AI servers, but it also poses problems for smaller-scale AI implementations.

Rechargeable and battery-powered solutions, including IoT, consume as little power as possible but highly depend on AI microcontrollers for functionality and performance. The power required for AI will shorten the time these devices have to perform their assigned tasks, forcing them to stay close to their rechargeable power source.

Another example is industrial automation. Battery-powered devices, whether small robots carrying parts from one place to another or key sensors for predictive maintenance, have limited run time and may require additional components to keep their circuits from overheating.

Figure 2. Industrial automation in manufacturing facilities requires significant power just for the AI required. Image provided courtesy of Pixabay.

Furthermore, high power consumption generates heat that can complicate designs. Heat dissipation measures are included, making the final product more expensive, heavier, and larger. If not addressed, generated heat can lead to unexpected behavior and failure.

The ADI MAX78000

The ADI MAX78000 is a hardware-based deep convolutional neural network (CNN) accelerator that enables neural networks to work at ultra-low power. It enables battery-powered applications to execute AI inferences using only microjoules of energy via their power management capabilities and dynamic voltage scaling that minimizes active core power consumption.

Figure 3. Simplified block diagram for the ADI MAX78000. Source.

The MAX78000 is an advanced system-on-chip featuring an ARM® Cortex®-M4 with an FPU (floating-point unit) CPU for efficient system control. It includes FPU up to 100MHz, 512KB flash, and 128KB SRAM. The CNN engine has an SRAM-based weight storage memory of 442KB, can support networks of up to 3.5 million weights, and process AI network updates on the fly. In addition, the CNN engine has 512KB of data memory.

The CNN architecture has been engineered for flexibility. It supports networks trained in conventional toolsets (e.g., PyTorch and TensorFlow) and then converted for execution on the MAX78000 using tools provided by Maxim.

Applications for the MAX78000 include object detection and classification, facial recognition, multi-keyword recognition, noise cancellation, sound classification, multi-sensor analysis, and predictive maintenance. The MAX 78000 is ideal for industrial automation and IoT applications, including those that rely on battery power.

Reference Design

IoT and industrial automation often use cameras to capture digital images for processing by AI modules. The MAXREFDES178 (Figure 4) is a cube camera containing two MAX78000 ARM Cortex M4F Microcontrollers with a CNN accelerator unit designed for edge AI applications such as facial and object identification and keyword spotting. It works for security, assembly line automation, quality checks, and more.

Figure 3. A digital cube camera using MAX78000 hardware can be used in a variety of AI applications, including security and quality check. Source

Its hardware comprises a connectivity board based on the MAX32666 and an AI board using two MAX78000 chips. A short 33-position flex cable connects the boards, and the system is battery-powered.

Learning More About ADI MAX78000

Integrating AI, IoT, and industrial automation presents revolutionary advancements — but with a notable challenge: high power consumption. ADI has introduced its MAX78000, a hardware-based deep convolutional neural network (CNN) accelerator designed for ultra-low power consumption to address this issue.

The MAX78000 provides dynamic voltage scaling and power management capabilities to enable AI inference with ultra-low energy consumption, making it suitable for battery-powered applications in a range of applications. To learn more about the MAX78000, contact Excelpoint today.

Introducing NXP’s MCX A: The All-purpose MCU and Enhanced FRDM Development Platform

NXP Semiconductors recently announced the launch of its MCX A series microcontrollers, including the A14x and A15x families, aimed at redefining the standards for versatile microcontroller solutions. Embedded with the powerful Arm® Cortex®-M33 core, these MCUs are designed to cater to a broad spectrum of applications across multiple industries, from industrial communications and smart metering to automation, control, and low-power devices.

The A14x series operates at 48 MHz, while the A15x series doubles that performance at 96 MHz. Both series come in various package options, ensuring adaptability across different hardware requirements. A notable feature of the MCX A series is its exceptional power efficiency, achieved through a capless LDO power subsystem, allowing operation across a range of 1.7V to 3.6V. This efficiency is highlighted by the MCU’s ability to maintain low power consumption across active and deep sleep modes, ensuring sustainability in battery-powered applications.

MCX A Family block diagram

Figure 1. MCX A14/A15 Family Block Diagram

Peripheral innovation is at the heart of the MCX A series. With the inclusion of MIPI I3C®, a modern upgrade to I2C for faster two-wire communication, and a full-speed USB device controller with ISP capabilities, these microcontrollers are set apart for their advanced connectivity options. This makes them suitable for a wide array of applications, including protocol bridging and smart device interfacing.

Figure 2. NXP I3C Support

The MCX A series also boasts a rugged memory subsystem, featuring a Low-Power Cache Controller (LPCAC) for improved processing and peripheral performance, and ECC-capable RAM for applications demanding higher reliability. Furthermore, the series is equipped with a high-speed ADC and comparators, alongside a motor control subsystem, underscoring its utility in precision control systems.

Furthermore, MCX A boasts advanced analog subsystems and motor control capabilities, making it the ideal choice for a spectrum of applications, from precision servo systems to distributed battery management systems.

Facilitating ease of use is the MCUXpresso Developer Experience, offering a comprehensive suite of software and tools tailored for seamless development. From low-level peripheral drivers to middleware support, MCUXpresso empowers developers to realize their visions with unparalleled flexibility.

With support for modern CI/CD workflows, MCX A seamlessly integrates into professional development environments, offering command-line builds and extensive framework support.

Complementing the MCX A series is the FRDM-MCXA153 Development Board, providing developers with a robust platform for rapid prototyping. With Arduino® compatible pin headers and support for additional expansion boards, the FRDM platform offers unparalleled versatility.

Figure 3. FRDM-MCXA153 Development Board.

With the MCX A series, NXP reinforces its commitment to innovation, scalability, and efficiency in the microcontroller domain, setting a new benchmark for intelligent edge devices.

Analog Devices Inc. – Supporting the Future of Electric Vehicles

Technology and engineering must be ready to integrate the latest EV (Electric Vehicle) advancements to continue their development and adoption.

Figure 1. The number of charging stations is growing worldwide, and so is the need for advanced technology to support EVs. Image provided courtesy of Pixabay.

There are three particular areas where innovative solutions are available to support more efficient, reliable, and cost-effective EVs: battery monitoring systems, DCFC stations, and better impedance measuring approaches.

Battery Monitoring Systems
EVs often bring to mind cars and trucks, but two- and three-wheel vehicles must be addressed — especially when it comes to effective battery monitoring systems (BMS). The BMS measures current flow in and out of the battery and the battery voltage to track charge levels and performance.

The quality of the BMS directly impacts the miles per charge an EV can deliver, and it maximizes the battery’s overall lifetime and lowers the cost of ownership — making the choice of BMS critical for manufacturers. The BMS is also a crucial aspect of safety, preventing injury to drivers, passengers, and equipment.

Most two- and three-wheel EVs (and four-wheelers) use battery monitors stacked in a daisy chain configured to monitor every cell in the battery pack. Such battery monitors must be highly accurate over their lifetime and over a range of temperatures.

The ADI ADBMS6948 16-channel battery pack monitor is an excellent example of the type of BMS needed, and a typical application is shown in Figure 2. It is the only Li-ion Cell monitor with a Zero False Positive Over Current (OC) detection feature to detect short circuit events and protect the FETs, improving system reliability and cost. In addition, it uses patented technology that improves the accuracy and reliability of BMS under all operating conditions.

Figure 2. Typical 16-channel battery pack monitor application. Image provided courtesy of Analog Devices.

Also available is the EVAL-ADBMS1818 evaluation board that can monitor up to 18 series-connected battery cells with a total measurement error of less than 3 mV. Multiple devices can be connected in a daisy chain with one host processor for all devices. This daisy chain can also be operated bidirectionally, which ensures communication integrity even if a fault occurs along the communication path.

EV Fast Charging
As EV charging demands increase worldwide and consumers expect fast charging speeds, a significant challenge exists: providing consistent charging power for DCFC (Direct Current, Fast-Charging) stations.

According to experts, the charging peak power that the grid will need to provide locally to charging stations with multiple piles is more than 1 MW. And that power demand can vary intermittently throughout a typical day, with worst-case scenarios involving high charging power needs at the same time the grid is facing its highest demands.

One proposed approach to reduce dependency on the grid for DCFC stations involves implementing local power sources, such as solar and wind energy, for ESS (Energy Storage Systems). The idea is to reuse stored energy — for example, solar energy can be generated during the middle of the day when the grid faces low power demands. Later, that stored energy can be used at night to offset the additional demands made on the grid.

Combining ESS with grid power means that EVs can expect a consistent level of available power to support charging needs and fast charging speeds, not to mention the environmental benefits of reusable energy and reduced power costs.

Using ESS to support fast charging requires monitoring devices for energy storage batteries, such as the ADI LTC6813. The LTC6813-1 is a multicell battery stack monitor engineered to measure up to 18 series-connected battery cells. Its total measurement error is less than 2.2 mV and is suitable for most battery chemistries. In addition, multiple LTC6813-1 devices can be connected in series for long, high-voltage battery strings with one host processor connection.

Figure 3. ADuM4136 functional block diagram. Image provided courtesy of Analog Devices.

In addition to ESS, power conversion systems are also required to efficiently meet the needs of DCFC charging stations. Solutions from ADI include the ADuM4136 isolated gate driver with an LT3999 power supply controller for the power conversion stages designed with SiC MOSFETs. SiC MOSFETs are critical because they allow engineers to implement the required switching frequency to have the best trade-off between system design costs and efficiency compared to equivalent Si-based MOSFETs.

Electrochemical Impedance Spectroscopy
Tracking impedance is essential to support the maximum power capabilities of Lithium-ion battery systems: another example of technology needed to support the future of EVs is the ability to measure DCFC-based EV battery pack impedance. One way to do this is through electrochemical impedance spectroscopy (EIS), a non-destructive parameter measurement used to measure batteries’ dynamic behavior.

An excellent approach to implementing EIS is to provide both potentiostat and EIS functionality on a single chip as part of an impedance and electrochemical front end. A single-chip approach such as this offers several advantages, including system accuracy, size flexibility (to measure 2-Lead, 3-Lead, and 4-Lead electrochemical sensors), reduced footprint, and a longer useful life.

The ADI 5940 offers high precision, low power analog front ends (AFEs) for electrochemical-based measurement techniques, including impedance, amperometric, or voltammetric measurements, all included on a single chip. This front end also includes an
intelligent autonomous control and is AEC-Q100 qualified for automotive applications. Figure 4 illustrates its simplified block diagram.

Figure 4. Simplified block diagram of the AD5940 high precision, low power AFE. Image provided courtesy of Analog Digital.

Conclusion
The demand for EVs, including two- and three-wheel applications, is multiplying. As a result, automotive engineers find themselves pressured to find solutions to support battery monitoring, fast charging, and impedance measurement. The engineers at Analog Digital understand these needs and are supplying solutions to support these needs, including battery monitoring evaluation boards that support up to 18 series-connected battery cells, SiC-based MOSFETs to support DCFC stations with ESS, and impedance and electrochemical front ends on a single chip.

Contact us today to learn more about the EV products that Analog Digital provides.

Excelpoint Systems Receives Partnership Appreciation Award from Temasek Polytechnic

Excelpoint Systems (Pte) Ltd, has been recognized by Temasek Polytechnic (TP) with the ‘Partnership Appreciation Award’ for their outstanding commitment and contributions to advancing education and industry collaboration.

Excelpoint’s active involvement in TP’s industry projects and the Student Internship Programme has significantly benefited both institutions. Through these partnerships, TP students and staff have gained valuable industry exposure, while Excelpoint has received invaluable support and contributions from TP’s talented students.

One of the key highlights of this collaboration is the joint research and development (R&D) schemes that have enriched TP’s academic programs. Excelpoint has provided industry expertise to TP, enabling the development of practical solutions to address the needs of local SMEs. This partnership has not only enhanced the learning experience for students but has also paved the way for cutting-edge research.

In recognition of their outstanding efforts, TP has awarded Excelpoint Systems the ‘Partnership Appreciation Award’ in 2024. This accolade is a testament to Excelpoint’s unwavering commitment to bridging the gap between academia and industry, fostering innovation, and contributing to the growth of the local business ecosystem.

Excelpoint Systems and Temasek Polytechnic’s collaboration serves as a shining example of the positive impact that can be achieved when educational institutions and industry leaders join forces. Through their continued partnership, both organizations are poised to further advance education and industry collaboration for the benefit of students, businesses, and the community as a whole.

Group shot with all the recipients of ‘Partnership Appreciation Award’.

Qualcomm QCS8250: Unlocking the Future of IoT and Edge AI

In today’s interconnected world, where data-driven insights and powerful edge computing are driving innovation, Qualcomm’s QCS8250 System-on-Module (SOM) and Development Kit (DK) stand at the forefront of cutting-edge technology.

Designed to meet the demands of premium-tier processors, the QCS8250 SOM & DK are poised to QCS8250 offers a powerful heterogeneous computing architecture coupled with the Qualcomm AI Engine to efficiently run complex AI, deep learning workloads, On-device-edge inferencing at incredibly low power, and NPU (Neural Processing Unit) for performance and always on neural network (NN) use cases.

Applications

The major applications for this module is enterprise and commercial IoT applications such as Video Collaboration, Smart Cameras, Healthcare, Smart Retail, Fleet Management, Digital signage and more.

Key Features & Benefits

Exceptional Camera Support: Packed with advanced Image Quality (IQ), handles 7 concurrent AI cameras, supports three 4K displays, intelligent zoom, 8K video, and 64MP photo capture for exceptional high-definition content creation.

Powerful Edge AI and Video Analytics: The processor boasts 15 TOPS of AI performance via a dedicated CV hardware block and Hexagon Tensor Accelerator, optimizing enterprise-grade IoT applications by combining sensor inputs like cameras, audio, Bluetooth®, and hubs.

Supports 5G, Wi-Fi 6: Offering extensive wired and wireless connectivity options, including 5G (up to 7.5 Gbps), Wi-Fi 6, and Bluetooth 5.1, perfect for enterprise IoT. Plus, it supports popular cloud applications for distributed AI models.

Wide range of peripherals interfaces support: Rich set of interfaces such as 2x USB 3.1, Type-C with DisplayPort, MIPI-CSI/DSI, PCIe (3-lane), and memory support interfaces for LPDDR4x/LPDDR5 – suited for industrial and commercial IoT applications.

Dedicated NPU 230 for Machine Learning applications: With a dedicated Neural Processing Unit (NPU), the QCS8250 excels in machine learning applications, enabling real-time decision-making and inference.

Key Challenges and Use Cases Addressed

Case Study 1: Cost-Effective, Low-Power Video Conferencing Solution

In the era of remote collaboration, the QCS8250 provides a cost-effective and low-power solution for video conferencing. Its ability to power multiple cameras while supporting various video encoding formats ensures a seamless and efficient conferencing experience. Organizations can now rely on this module to enhance their video collaboration solutions, enabling high-quality communication with reduced power consumption.

Case Study 2: Smart Retail Revolution

With smart retail on the rise, the QCS8250 can multitask effectively, handling scanning, payment processing, loss prevention, personalization, and analytics simultaneously. Whether it’s streamlining checkout processes, optimizing inventory management, or enhancing the overall shopping experience, this module offers a versatile solution that empowers retailers to stay competitive in a rapidly evolving landscape.

Excelpoint SOM and Development Kit

QCS8250 SOM Block Diagram & Features

QCS8250 Chipset Functional Block  

Comparison with other competitors

SolidRun and Excelpoint Announce Distribution Agreement to Expand Reach in Asia Pacific

SINGAPORE, 6 DECEMEBER 2023 – SolidRun, a global leader in off-the-shelf SOMs (System-on-Module) and SBCs (Single Board Computers) for the IoT and Networking industries, is pleased to announce a strategic distribution agreement with Excelpoint Technology Pte Ltd, a leading B2B platform providing quality electronic components, engineering design services, and supply chain management in the Asia Pacific region.

SolidRun is renowned for its innovative and high-performing hardware solutions, offering seamless integration between hardware and software for Original Equipment Manufacturers (OEMs) worldwide. The company collaborates closely with leading global chip manufacturers to deliver cutting-edge products designed to accelerate modern product development.

Excelpoint, recognized as a top-tier distributor in the global electronics industry, serves OEMs, Original Design Manufacturers (ODMs), and Electronics Manufacturing Services (EMS) companies across the Asia Pacific. The company’s commitment to innovation, quality, and supply chain efficiency has earned it a prominent position in the industry. Excelpoint’s extensive network and experience in the region make it a natural fit to distribute SolidRun products.

Under this new partnership, Excelpoint will be the authorized distributor of SolidRun products in the territories of India, ASEAN, and ANZ (Australia and New Zealand). This collaboration will empower customers in these regions to access SolidRun’s cutting-edge SOMs and SBCs, enabling them to streamline their product development processes and stay ahead in the fast-paced IoT and Networking industries.

“We are delighted to partner with SolidRun and enhance our product offerings with their high-quality embedded computing solutions,” said Stanley Chan, Managing Director of Excelpoint Systems Pte Ltd. “SolidRun’s commitment to innovation aligns perfectly with Excelpoint’s mission to deliver cutting-edge technology solutions to our customers. We believe this partnership will strengthen our position in the market and provide our customers with access to advanced computing platforms.”

Sasha Strizhiver, Embedded Product Line Manager at SolidRun, added, “This partnership with Excelpoint is a significant milestone for SolidRun. Excelpoint’s deep market knowledge, extensive distribution network, and dedication to customer success make them an ideal partner for us as we continue to expand our global reach. We look forward to collaborating closely with Excelpoint to provide exceptional solutions to our customers in these key regions.”

Together, SolidRun and Excelpoint are poised to deliver exceptional value to OEMs, ODMs, and EMS providers in India, ASEAN, and ANZ. This partnership reinforces both companies’ commitment to driving innovation, enhancing operational efficiency, and delivering top-notch products and services to the electronics industry in the Asia Pacific region.

For media inquiries, please contact:

Mr Sasha Strizhiver
Product Line Manager
SolidRun
Email: sasha.strizhiver@solid-run.com

OR

Ms ONG Hwee Teng
Corporate Communications Manager
Excelpoint Systems (Pte) Ltd.
Tel: +65 6210 6639
Email: hweeteng.ong@excelpoint.com.sg

About SolidRun:

SolidRun is a global developer of off-the-shelf SOMs (System-on-Module) and SBCs (Single Board Computers) for the IoT and Networking industries. The company provides strong integration between hardware and software to make modern product development fast and easy for OEMs. SolidRun collaborates closely with leading global chip manufacturers to offer innovative and high-performing products.

About Excelpoint:

Excelpoint Technology Pte Ltd and its subsidiaries are one of the leading regional B2B platforms providing quality electronic components, engineering design services, and supply chain management to OEMs, ODMs, and EMS providers in the Asia Pacific region. Excelpoint has been recognized as a top global distributor by industry publications and is known for its commitment to innovation and customer success.

Analog Devices: New Power Supply Concepts Needed for Intelligent Edge Sensors

Written by Frederik Dostal, Power Management Expert

Question
The Intelligent Edge is spreading across the industry, replacing heritage edge sensors and actuators. Can the Intelligent Edge use common heritage power supplies?

Answer
In some cases, yes, but in most cases, no! Adapted, more advanced power supplies need to be designed.

Abstract
This article introduces different examples of the implementation of Intelligent Edge sensors and how power management solutions are selected and adapted to provide the best solution. This article will explore some of these sensor solutions available today.

Introduction
The field of power supplies for industrial sensors is currently ripe with innovations and rife with challenges. Implementation of an Intelligent Edge requires intelligent data preparation. This requires innovations in power supplies. In some cases, sensors at the Intelligent Edge need to be powered by a single twisted pair cable, which a single-pair power over Ethernet (SPoE) solution can provide. In other applications, a nanopower solution helps to save energy to achieve longer run times with a battery at the sensor side. Furthermore, some intelligent sensors require an ultralow noise power supply, so that sensor data is not compromised. Finally, adding sensor intelligence at the edge will require a power supply with a higher power density. This is because new sensors need to fit in an existing form factor.

What Is the Intelligent Edge?
The term Intelligent Edge refers to sensors in industrial systems that can select and process data independently. A lower volume of data is transmitted between the sensors and the central control unit, so data transmission is less challenging. Of course, a microcontroller is needed to process the data supplied by the sensors. A simple example is an optical sensor used for the detection of specific information. For example, it may detect people who accidentally step into an automated manufacturing area, thereby putting themselves in danger. The image data must be processed in such a way that a person can be unequivocally identified so that the machines can be shut down quickly in response. This should serve to prevent injuries. The goal is to have the image data processed at the Intelligent Edge. Only one signal, which is the person detected in the camera’s field of view, is transmitted to the central computer. Transfer of image data to the central computer is done away with. As a result, less transmission bandwidth is required and transmission is simplified. 

Nanopower Sensors in Industrial Environments
An example of a low power sensor in an industrial environment in the context of the Intelligent Edge is vibration sensors distributed in a process plant to monitor individual machines.

Figure 1: SPoE supplies up to 52 W via a single 2-wire cable up to 1 km in length. 

Figure 2: Nanopower voltage conversion for battery-powered sensors. 

Download PDF to Read More

A Force Behind Smart Factory Transformation: ADI’s IO-Link® Technology

SINGAPORE, 8 November 2023 – As the manufacturing landscape1 undergoes significant shifts towards Industry 4.0, Excelpoint Systems (Pte) Ltd., a trusted leader in providing quality electronics components supports the sector transformation with ADI’s IO-Link® Technology2. This technology offered by Analog Devices, Inc. (ADI) enables manufacturers to achieve peak efficiency and productivity.

ADI’s IO-Link® technology is rapidly shaping the future of the manufacturing sector. Recognized as an integral component of the modern smart factory, it facilitates the transformation of traditional sensors into intelligent, data-driven devices. With this technology, edge devices in manufacturing environments will witness unprecedented levels of intelligence, enhancing their overall capabilities.

The crux of a smart factory lies in its sensors and actuators, making crucial decisions in real-time. With ADI’s IO-Link® technology, traditional sensors are rejuvenated into intelligent entities,” Manufacturers have the opportunity to transform their industrial settings into real-time configurable production zones without the burdensome costs or intricacies of a full revamp.

Moreover, the IO-Link’s innate flexibility reduces common inefficiencies. Where once technicians manually adjusted sensors, a time-consuming and often inefficient process, IO-Link provides seamless adaptability, real-time communication, and a noteworthy decrease in downtimes.

Beyond the IO-Link technology, ADI also offers a suite of high-precision analog converters and signal conditioning tools. These tools, when integrated with IO-Link solutions, provide manufacturers with comprehensive sensor upgrade options tailored to their unique needs.

“The future is here, and it’s digital,” commented said Kenny Ng, Director of Product Marketing, Excelpoint. “ADI’s IO-Link technology is not just a tool but a transformative force. By repurposing existing sensors and equipping them with cutting-edge tech, manufacturers can now have an agile, communicative, and real-time diagnostic-capable process.”

Excelpoint champions the adoption of these innovative smart factory sensor solutions. By bridging the chasm between traditional manufacturing techniques and the digital future, Excelpoint, in collaboration with industry giants like ADI, is poised to guide manufacturers into a new age of efficiency and productivity.

Manufacturers keen to explore and leverage these innovations are encouraged to delve deeper into ADI’s smart factory solutions.

For further details on how Excelpoint can lead your transition to smarter manufacturing, please visit: https://www.excelpoint.com/solutions/smart-factory-sensors/

In tandem with IO-Link, ADI’s high precision analog converter, linear, and signal conditioning portfolio offers products to match the performance, power, cost and size requirements for smart sensor analog front ends.

For media inquiries, please contact:

Ms ONG Hwee Teng

Corporate Communications Manager

Excelpoint Systems (Pte) Ltd.

Tel: +65 6210 6639

Email: hweeteng.ong@excelpoint.com.sg

About Excelpoint:

Excelpoint Technology Pte Ltd (the “Company”) and its subsidiaries (“Excelpoint” or the “Group”) are one of the leading regional business-to-business (“B2B”) platforms providing quality electronic components, engineering design services and supply chain management to original equipment manufacturers (“OEMs”), original design manufacturers (“ODMs”) and electronics manufacturing services (“EMS”) in the Asia Pacific region. Excelpoint Technology Pte Ltd has been recognised in the Top 25 Global Electronics Distributors and Top Global Distributors lists by EBN (a premier online community for global supply chain professionals) and EPSNews (a US premier news, information and data portal and resource centre for electronics and supply chain industries) respectively.

Excelpoint works closely with its manufacturers to create innovative solutions to complement its customers’ products and solutions. Aimed at improving its customers’ operational efficiency and cost competitiveness, the Group has set up research and development (“R&D”) centres in Singapore, China and Vietnam that are helmed by its dedicated team of professional engineers.

About Analog Devices, Inc.

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Empowering the Intelligent Edge with Field Instruments through Digital Transformation

SINGAPORE, 10 October 2023 – Excelpoint Systems (Pte) Ltd., a leading distributor providing quality electronics components with integrated R&D capabilities, strengthen its strategic collaboration with Analog Devices, Inc. (ADI) to further enhance and promote ADI’s cutting-edge field instrument solutions. This collaboration signifies Excelpoint’s dedication to drive the digital transformation of industries by empowering the intelligent edge through advanced field instruments1.

In today’s rapidly evolving industrial landscape2, digital transformation is not just a buzzword but an imperative. With the advent of Industry 4.0 and increasing demand for intelligent edge solutions, field instruments serves as a catalyst for this transformation. It provides the data backbone required for real-time decision-making, predictive maintenance, and operational excellence.

Furthermore, advancements in measurement, processing, security, connectivity, and power management technologies are actively shaping the field instrumentation landscape. These technologies are enabling the development of more intelligent field instruments capable of thriving in demanding environments.

ADI, with its cutting-edge technology, has been a pioneering force in this arena, offering connectivity and sensors solutions that empower industries. These efforts prompted Excelpoint to recognize the critical role that field instruments play in driving this transformation.

With the addition of the L-Maxim portfolio, we now provide solutions in processor, security, power, and isolation spaces. These solutions have the potential to revolutionize the way industries operate.

“Excelpoint is committed to empowering industries to thrive in a digital future. Our strengthened collaboration with ADI underscores our dedication to providing customers with the most advanced solutions in the field instrumentation space.” said Kenny Ng, Director of Product Marketing, Excelpoint. “Together, we are shaping a future where the intelligent edge is synonymous with operational excellence.”

For more information about Excelpoint’s commitment to field instrumentation advancements and our collaboration with ADI, please visit https://www.excelpoint.com/solutions/field-instruments/

ADI offers tailored solutions, from implementations with discrete components to complete integrated solutions and everything in between.

For media inquiries, please contact:

Ms ONG Hwee Teng

Corporate Communications Manager

Excelpoint Systems (Pte) Ltd.

Tel: +65 6210 6639

Email: hweeteng.ong@excelpoint.com.sg

About Excelpoint:

Excelpoint Technology Pte Ltd (the “Company”) and its subsidiaries (“Excelpoint” or the “Group”) are one of the leading regional business-to-business (“B2B”) platforms providing quality electronic components, engineering design services and supply chain management to original equipment manufacturers (“OEMs”), original design manufacturers (“ODMs”) and electronics manufacturing services (“EMS”) in the Asia Pacific region. Excelpoint Technology Pte Ltd has been recognised in the Top 25 Global Electronics Distributors and Top Global Distributors lists by EBN (a premier online community for global supply chain professionals) and EPSNews (a US premier news, information and data portal and resource centre for electronics and supply chain industries) respectively.

Excelpoint works closely with its manufacturers to create innovative solutions to complement its customers’ products and solutions. Aimed at improving its customers’ operational efficiency and cost competitiveness, the Group has set up research and development (“R&D”) centres in Singapore, China and Vietnam that are helmed by its dedicated team of professional engineers.

About Analog Devices, Inc.

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Excelpoint Celebrates a Triumph at HR Excellence Awards 2023

 

29 Sep 2023 – An air of celebration filled The Ritz-Carlton, Millenia Singapore as Excelpoint proudly accepted its first-ever Bronze Award for Excellence in Corporate Social Responsibility (CSR) Strategy.

Into its 11th edition, the HR Excellence Awards 2023 featured organizations hailing from the Asia Pacific and the Middle East, all competing across 36 categories, ranging from talent acquisition and workforce engagement to leadership cultivation and staff retention.

This recognition at the HR Excellence Awards 2023 is a testament to our dedication and effective implementation of ethical practices, sustainability, and social impact. The CSR initiatives have yielded positive outcomes not only for the organisation itself but also for its stakeholders.

“Making Everyone’s Life Better”

Through resource efficiency and conservation, we have been reducing the negative effects of our business activities on the environment such as waste and energy. With our donations and employee volunteerism, we want to strengthen our connections with the community to assist the needy. It is our commitment to focus on helping children and youths in building the next generation. While our efforts may not be extraordinary, we are driven by the conviction that every extra mile we take, can instigate significant change, irrespective of the scale.

Our achievement underscores the notion that even small actions, driven by passion and commitment, can lead to significant positive outcomes for both organizations and society as a whole. Excelpoint’s commitment to Corporate Social Responsibility shines as a beacon of inspiration, setting a remarkable example for businesses around the world.

Read more about our CSR efforts: https://www.excelpoint.com/corporate-social-responsibility-csr/

The team that witnessed the glorious night

The winning smiles