DRONE

Overview 

The phyBOARD®‑Izar from PHYTEC is a powerful rapid development kit designed to meet the needs of demanding industrial applications. Built on the Texas Instruments AM68x / TDA4x processor family, this single‑board computer combines high computing performance, advanced signal processing, and AI acceleration in one robust platform. 

Performance That Drives Intelligent Systems 

At the core of phyBOARD®‑Izar is the phyCORE®‑AM68x/TDA4x System on Module, a processing platform developed specifically for applications that require large amounts of data processing and real‑time performance. 

Key Performance Highlights 

Dual ARM Cortex‑A72 cores running up to 2 GHz 

Integrated deep‑learning engine 

Dedicated DSPs and specialized hardware accelerators 

This architecture is optimized for high‑end image processing and AI‑oriented workloads, enabling the board to handle compute‑intensive applications efficiently. 

With performance reaching: 

Up to 160 GFLOPS via integrated DSPs 

Up to 50 GFLOPS GPU performance 

phyBOARD®‑Izar delivers the processing power needed for advanced data analysis and visualization. 

Fast, Flexible Connectivity for Industrial Integration 

phyBOARD®‑Izar is designed for fast communication and easy system integration, offering an extensive set of interfaces. 

High‑Speed Interfaces 

PCIe Gen 3 

USB 3.0 

Two Gigabit Ethernet connections 

Industrial and Peripheral Interfaces 

RS‑232 

RS‑232 or RS‑485 

UART 

Two isolated RS‑232 interfaces 

CAN and serial connections via included cables 

This variety of interfaces allows the board to integrate smoothly into a wide range of industrial and embedded systems. 

Imaging and Visualization Ready Out of the Box 

The phyBOARD®‑Izar development kit is well suited for applications that rely on image processing and visualization. 

Included imaging and display components: 

phyCAM‑M color camera, including connection cable 

10‑inch 1280 × 800 color display, including connection cable 

Drivers for phyCAM cameras are already integrated into the Linux BSP, simplifying camera bring‑up and evaluation. 

The platform supports dynamic data visualization, including interactive 3D‑rendered graphics, enabling intuitive operation during development and system testing. 

Ready‑to‑Use Software Support 

To accelerate development, phyBOARD®‑Izar is delivered with a preconfigured software environment: 

Linux Yocto‑based Board Support Package (BSP) on µSD card 

This ready‑to‑use BSP includes the necessary drivers and components required to begin development quickly, reducing setup effort and time to evaluation. 

Designed for Demanding Industrial Applications 

According to PHYTEC, the phyBOARD®‑Izar development kit is suitable for a wide range of industries, including: 

Automotive – driver assistance systems and autonomous driving 

Agriculture – autonomous harvesters and robotic lawnmowers 

Aviation – autonomous drone platforms 

Industrial production – autonomous robot arms 

Medical technology – operation support and image processing 

These application areas highlight the board’s versatility in performance‑critical and data‑intensive environments. 

What’s Included in the Development Kit 

The phyBOARD®‑Izar rapid development kit provides everything needed to get started: 

Why Choose phyBOARD®‑Izar? 

phyBOARD®‑Izar brings together: 

High‑performance computing with AI acceleration 

Specialized hardware for image processing 

A wide range of industrial interfaces 

A complete hardware and software development kit 

All in a platform designed for reliable operation in demanding industrial environments. 

Conclusion 

Industrial innovation is no longer driven by processing power alone. Today, manufacturers, OEMs, and solution developers need embedded platforms that can combine real-time performance, AI at the edge, machine vision, and industrial-grade reliability in one compact solution. This is where the phyCORE®-AM68x/TDA4x SOM stands out as a powerful and future-ready platform. 

Built on the Texas Instruments AM68x / TDA4x processor family, the phyCORE®-AM68x/TDA4x System on Module is designed to help businesses accelerate development of intelligent industrial systems. Whether the goal is to deploy Edge AI devices, build machine vision systems, enable smart robotics, or create real-time industrial automation solutions, this module provides the performance and flexibility needed for modern embedded applications. 

Rather than spending valuable engineering time designing complex hardware from scratch, development teams can use the phyCORE®-AM68x/TDA4x SOM as a production-ready foundation for innovation. This not only reduces development risk but also helps companies bring advanced embedded products to market faster. 

Why the phyCORE®-AM68x/TDA4x SOM Matters for Edge AI 

As industrial systems become more intelligent, the need for Edge AI continues to grow. In many applications, data must be processed locally and instantly, without relying on cloud connectivity. For example, production lines, robotics systems, and imaging platforms require fast decisions with minimal latency. In these environments, cloud-based processing can introduce delays, higher bandwidth costs, and security concerns. 

The phyCORE®-AM68x/TDA4x SOM for Edge AI solves this challenge by enabling powerful local processing directly on the device. It supports high-performance embedded computing for AI inference, image analysis, and control tasks, making it ideal for systems that need fast and reliable decisions in the field. 

By processing data at the source, the phyCORE®-AM68x/TDA4x SOM helps improve system responsiveness, reduce latency, strengthen data privacy, and support continuous operation even in environments with limited connectivity. 

Key Benefits of the phyCORE®-AM68x/TDA4x System on Module 

The phyCORE®-AM68x/TDA4x System on Module is built to deliver value across performance, scalability, and development efficiency. Key benefits include: 

High-performance Edge AI processing for real-time inference and embedded intelligence 

Support for machine vision applications that require fast image capture and analysis 

Compact SOM design for space-constrained industrial products 

Industrial connectivity options for easy integration with sensors, controllers, displays, and networks 

Reliable real-time performance for automation, robotics, and control systems 

Reduced development effort with a ready-to-integrate hardware platform 

Faster time to market for OEMs building next-generation industrial solutions 

These advantages make the phyCORE®-AM68x/TDA4x SOM an excellent choice for companies looking to scale intelligent edge products without increasing hardware complexity. 

Built for Machine Vision and Intelligent Imaging 

One of the most valuable use cases for the phyCORE®-AM68x/TDA4x SOM is machine vision at the edge. Modern industrial systems increasingly rely on vision-based intelligence to detect defects, monitor production quality, guide robotic movement, and analyze visual information in real time. 

The phyCORE®-AM68x/TDA4x machine vision SOM provides the performance needed for imaging-intensive tasks. It allows developers to build solutions that can capture, process, and act on visual data locally, without the delays associated with sending data to external servers. 

This is especially important for industries where every second matters. By enabling real-time image processing, the phyCORE®-AM68x/TDA4x SOM supports faster decision-making, greater inspection accuracy, and more reliable automation. For businesses focused on quality control and operational efficiency, this creates a measurable competitive advantage. 

Ideal Applications of the phyCORE®-AM68x/TDA4x SOM 

The flexibility of the phyCORE®-AM68x/TDA4x SOM makes it suitable for a wide range of embedded and industrial applications. Common use cases include: 

Edge AI devices for intelligent on-device processing 

Industrial automation systems requiring deterministic control and real-time decision-making 

Machine vision systems for inspection, defect detection, and visual monitoring 

Smart robotics with AI-enabled perception and motion support 

Autonomous and assisted machines operating in industrial or outdoor environments 

AI-based quality inspection systems for production lines 

Industrial gateways that connect, process, and transmit data efficiently 

Embedded imaging platforms for monitoring and analysis 

Smart infrastructure systems that require local intelligence and reliable performance 

Human-machine interfaces (HMIs) with advanced processing and display integration 

Because the phyCORE®-AM68x/TDA4x SOM can handle multiple workloads in parallel, it is especially valuable in systems where vision, AI, communication, and control need to operate at the same time. 

Why Choose the phyCORE®-AM68x/TDA4x for Industrial Innovation 

Choosing the right System on Module for industrial automation is about more than processor speed. It is about finding a platform that supports performance, integration, scalability, and long-term value. The phyCORE®-AM68x/TDA4x SOM combines these strengths in a way that aligns with the needs of modern industrial product design. 

With support for Edge AI, machine vision, real-time processing, and industrial connectivity, the module gives businesses a strong technology base for next-generation embedded solutions. It enables smarter systems, quicker development, and a more efficient route to market. 

Conclusion 

The shift toward AI-driven industrial systems is accelerating, and businesses need embedded platforms that can keep up with this transformation. The phyCORE®-AM68x/TDA4x SOM provides a powerful answer by combining intelligent edge processing, machine vision capability, compact design, and industrial-ready performance in one scalable solution. 

In a world accelerating toward intelligent automation, edge analytics, and real‑time industrial response, hardware must do more — faster, smarter, and securely. PHYTEC’s phyCORE‑i.MX 8M Plus System‑on‑Module rises to this challenge, redefining what’s possible at the edge. Built on the powerful NXP i.MX 8M Plus SoC, this System On Module integrates a robust ARM architecture, on‑chip AI acceleration, advanced multimedia interfaces, and industrial‑grade connectivity — all within an ultra‑compact 40 mm × 37 mm footprint. It’s engineered to help developers bring cutting-edge embedded products to life quickly, reliably, and cost‑efficiently.  

Why the phyCORE‑i.MX 8M Plus Is a Game-Changer

PHYTEC didn’t just build another SoM — they built a scalable, intelligent processing platform optimized for AI, vision, Industry 4.0, and IoT edge computing applications.

1. AI at the Edge

Equipped with a Neural Processing Unit (NPU) delivering up to 2.3 TOPS, the System On Module enables on-device machine learning with minimal CPU load. Ideal for real‑time decision-making, computer vision, predictive maintenance, and more.

2. Advanced Multimedia & Vision Processing

The module includes:

Dual MIPI‑CSI camera interfaces

On‑chip Image Signal Processor (ISP) supporting up to 12MP/375MP/s

Display options including HDMI, LVDS, and MIPI‑DSI

3. Industrial‑Grade Connectivity

With dual Gigabit Ethernet (TSN‑capable), USB 3.0, PCIe, CAN FD, and extensive I/O options, the SOM meets the demands of modern industrial systems — precise timing, secure communications, and robust integration.

4. Designed for Low Power, High Reliability

Using NXP’s 14LPC FinFET technology, LPDDR4 memory, and a sophisticated PMIC, the SOM excels in thermally constrained and battery‑sensitive environments.

5. Flexible Prototyping & Cost‑Optimized Production

Choose between:

Connectorized variant for rapid prototyping

Solder‑down version for mass‑production cost reduction

Top Use Cases Powered by phyCORE‑i.MX 8M Plus

Whether you’re building compact devices or industrial-grade automation, the module’s versatility shines:

✔ Smart Home / Smart City

✔ Industry 4.0 & Robotics

✔ Edge Computing / IIoT Gateways

✔ Multimedia & Imaging Systems

Why Engineers Choose PHYTEC SOMs

Developers prefer PHYTEC modules because they offer:

Industrial reliability

Long-term availability

Custom hardware support

Optimized BSP software

Fast product development cycles

The phyCORE-i.MX 8M Plus continues this tradition by delivering powerful Edge AI capabilities in a compact and scalable form factor.

Get Ready for Embedded World 2026 — March 10–12

PHYTEC invites you to experience the future of Edge AI, Custom BSPs, and Industrial Embedded Innovation — live!

Live Demonstrations Include

Driver Monitoring System (DMS) — detects drowsiness, distraction, phone usage, and even smoking

Drone‑Based Parking (ROS 2) — vehicle detection, OCR, brand ID & occupancy analytics

Celebrity Face Match — ultra‑fast identity matching using INT8 ResNet50

Industrial Digital Twin — Wi‑SUN mesh‑powered motor monitoring with secure MQTT

Scalable & Secure Wi‑SUN Mesh Network

Custom BSP Highlights

Zephyr BSP — sensor nodes, OTA, networking & more

Embedded Linux (Yocto) — NPU delegate, video pipeline, secure OTA updates

PHYTEC at Embedded World 2026

Visit us at Booth: 3‑641

Event Date: 10–12 March 2026

Location: Nuremberg, Germany

Book Your Slot For

Private demo walkthroughs

Technical consultations

Business & partnership discussions

Starter kits & early BSP release access

Industrial automation, robotics, and smart manufacturing demand platforms that combine high‑performance application processing with deterministic real-time control. As system complexity grows, developers require computing modules that offer flexible hardware interfaces, hardware acceleration, and long-term reliability. The phyCORE®‑AM64x‑FPGA System on Module (SOM) addresses these needs by integrating TI’s Sitara™ AM64x processor with a Lattice ECP5 FPGA, bringing together application processing, real-time architecture, and hardware-level customization in one compact industrial-grade module.

A Scalable SOM Architecture for Industrial Embedded Systems

The phyCORE®‑AM64x‑FPGA SOM is built on a modular architecture that includes:

Dual Arm Cortex‑A53 cores for Linux-based applications

Up to four Cortex‑R5F real-time cores

A dedicated Cortex‑M4F microcontroller

Lattice ECP5 FPGA fabric for hardware acceleration

DDR4 RAM with ECC support

Industrial Ethernet and fieldbus communication interfaces

This integration eliminates the need for teams to design complex processor and FPGA subsystems from scratch. With a fully validated SOM, developers can concentrate on application software and carrier board customization. PHYTEC’s long lifecycle support further ensures availability for industrial product roadmaps extending beyond a decade.

High‑Performance Application Processing

At the heart of the System on Module, the dual Arm Cortex‑A53 cores operate at up to 1 GHz, providing enough compute power for:

Edge analytics and industrial gateways

HMI and visualization systems

Secure device management and diagnostics

Multi-protocol industrial communication stacks

Running embedded Linux, these cores handle higher-level applications while maintaining separation from deterministic real-time tasks. This architecture allows developers to build feature-rich industrial systems without compromising the timing accuracy of control loops.

Deterministic Real-Time Control with Arm Cortex‑R5F and Cortex‑M4F

Real-time performance is essential in motion control, robotics, and industrial automation. The phyCORE®‑AM64x‑FPGA SOM includes:

Up to four Cortex‑R5F cores for time‑critical control

A Cortex‑M4F for low-latency microcontroller-style tasks

These cores are optimized for deterministic behavior and ultra‑low interrupt latency. They are used for executing:

Motor control algorithms

Industrial automation control loops

Time-sensitive communication

Functional safety routines

This architecture ensures predictable operation even when running complex Linux workloads on the A53 cores.

Integrated FPGA for Hardware Acceleration and Custom Interfaces

One of the most powerful features of the phyCORE®‑AM64x‑FPGA SOM is its Lattice ECP5 FPGA, which adds a flexible layer of hardware customization. The FPGA enables:

Implementation of custom industrial communication protocols

High-speed signal processing

Deterministic hardware-level control logic

Additional digital and sensor interfaces

Offloading of compute‑intensive workloads from the CPU

FPGA logic runs in parallel, delivering precise timing and ultra-low latency performance that cannot be matched by software alone. This makes the SOM ideal for creating advanced motor control systems, robotics platforms, and industrial equipment requiring custom high-speed interfaces.

Industrial-Grade Connectivity and Communication

Modern factories demand reliable and synchronized communication. The phyCORE®‑AM64x‑FPGA SOM supports widely used industrial protocols such as:

EtherCAT®

PROFINET®

EtherNet/IP™

Time-Sensitive Networking (TSN)

In addition to these industrial Ethernet standards, the SOM also includes a comprehensive set of interfaces:

Gigabit Ethernet

CAN‑FD

PCIe

USB 2.0 / USB 3.0

SPI, UART, and I²C

This connectivity makes the module suitable for building industrial gateways, motor drives, PLCs, robotic controllers, data loggers, and sensor hubs.

Reliable Memory Architecture for Industrial Environments

Industrial applications require systems that operate reliably over long cycles and in harsh environments. The phyCORE®‑AM64x‑FPGA SOM includes:

DDR4 RAM with Error Correcting Code (ECC)

eMMC flash storage

Non‑volatile memory for boot configuration

ECC memory is especially valuable in mission‑critical applications, ensuring error detection and correction during runtime. With an extended temperature range of −40 °C to +85 °C, the SOM is suitable for automation equipment, outdoor systems, and rugged industrial machinery.

Ideal Applications for the phyCORE®‑AM64x‑FPGA SOM

Industrial AutomationRobotics & Motion ControlIndustrial NetworkingEdge Computing & IIoT

Conclusion

The phyCORE®‑AM64x‑FPGA SOM delivers a sophisticated blend of multi-core processing, FPGA flexibility, industrial connectivity, and high reliability—making it an ideal foundation for next-generation industrial systems. Its combination of Linux-capable A53 cores, deterministic R5F/M4F real-time processors, and integrated FPGA enables developers to build high-performance solutions for automation, robotics, motion control, and industrial communication.

Modern industrial embedded systems require a hardware foundation that delivers reliability, scalability, and long-term availability. Applications such as industrial automation, edge computing, HMI panels, robotics, medical devices, and IoT gateways are increasingly complex. As a result, embedded module platforms must support high-performance processing, rich connectivity, and design flexibility. System on Modules (SoMs) provide a modular, production-ready solution for industrial embedded design. By integrating core computing components into a compact, standardized form factor, SoMs simplify development, reduce time-to-market, and enable engineers to focus on software innovation, system differentiation, and advanced application features.

Defining a System on Module:

A System on Module (SOM) is a fully integrated computing block that combines:

Arm® Cortex®-based processors

Memory (RAM + flash storage)

Power management and clock circuitry

Essential interfaces for peripherals

Key Benefits:

✔ Complete processing and I/O core

✔ Plug-and-play integration with carrier boards

✔ Flexibility for application-specific hardware

✔ Simplified software support with Board Support Packages (BSPs)

SOMs reduce design risk and accelerate development cycles.

Why Use PHYTEC SOMs?

Fast Time to Market :

Designing a custom CPU board around a modern processor-handling DDR memory design, power sequencing, and high-speed I/O-is one of the most complex and time-consuming parts of embedded hardware development. PHYTEC System on Module (SOM) bring that complexity already solved, allowing engineers to move directly to application-specific design.

Reduced Risk and Development Cost :

With decades of embedded expertise behind them, PHYTEC SOMs are engineered for reliability and longevity. By using a proven computing core, you avoid costly redesigns and debugging cycles that come with custom processor board development.

Scalable and Flexible :

PHYTEC SOMs come in many variants — from ultra-compact low-power modules like phyCORE-i.MX RT1170 to high-performance multimedia and industrial modules such as phyCORE®-AM62x and phyCORE®-AM68x — giving you the flexibility to match performance, power, and feature requirements across product lines.

Long Lifecycle and Support :

Industrial, automotive, and connected systems demand long product lifecycles and stability. PHYTEC SOMs and their ecosystem are built with this in mind — offering up to decade-long availability and extensive software support so you can confidently build products that endure.

Popular PHYTEC SOM Families

phyFLEX®-i.MX 95 FPSC — High-Performance AI & Multimedia SoM

Dual, quad, or hexa-core Arm® Cortex-A55 + Cortex-M33/M7

Mali-G310 GPU + eIQ Neutron NPU for AI/ML

Ethernet TSN, USB 3.0/2.0, PCIe Gen3

Display: MIPI DSI, LVDS | Camera: 2× MIPI-CSI2

Industrial I/O: CAN-FD, UART, SPI, I²C, PWM, ADC

Industrial-grade: −40 °C to +85 °C operation

phyCORE®-i.MX RT1170 — Real-Time + Multimedia MCU Module

Dual Cortex‑M7 + Cortex‑M4 cores for real‑time and control tasks

Multimedia peripherals: MIPI‑CSI camera, MIPI‑DSI display, audio codecs

Ethernet, CAN‑FD, UART, SPI, I²C interfaces

Compact 30 × 30 mm footprint for space‑constrained embedded designs

phyCORE®-AM62x — Compact Edge & Multimedia Modules

Quad-core Arm® Cortex-A53 + Cortex-M4F

GPU, dual display, MIPI CSI camera support

Secure Boot & customizable memory

Ideal for industrial HMIs, gateways, edge devices

Compact 43×32 mm footprint with 240-pin interconnect

phyCORE®-AM68x — Performance & Vision

2× Cortex-A72 + 4× Cortex-R5F cores

Multimedia, GPU, dual display, scalable memory

Secure Boot & Linux BSP support

Perfect for machine vision, robotics, and advanced automation

phyCORE®-AM64x-FPGA — Real-Time Control & Automation

Arm cores + integrated FPGA

4× industrial Ethernet ports (EtherCAT®, PROFINET®)

DDR4 with ECC, extended I/O, real-time capability

Ideal for industrial automation & fieldbus systems

Applications That Benefit from PHYTEC SOMs :

PHYTEC SOMs are deployed across industries where performance, reliability, and flexibility matter:

Industrial automation and controls

Edge IoT and gateways

Machine vision and robotics

Medical and diagnostic systems

HMI panels and smart displays

Conclusion

In today’s competitive embedded market, adopting a System on Module strategy lets you reduce risk, cut development time, and focus on what differentiates your product. PHYTEC’s rich portfolio of industrial-grade SOMs — backed with long-term availability, engineering support, and software tooling — provides a powerful foundation for your next embedded design.

👉 Explore PHYTEC System on Modules:   https://www.phytec.in/en/system-on-module-single-board-computers-phytec/system-on-modules/    FAQ: System on Modules for Industrial Applications

Q1: What is a System on Module (SOM)?   A SOM is a compact embedded computing block integrating processor, memory, power, and interfaces for simplified hardware design.

Q2: How do SOMs reduce development time?   By providing a pre-integrated and validated computing core, SOMs eliminate the need to design complex processor boards from scratch.

Q3: Which SOM is ideal for AI and multimedia workloads?   The phyFLEX®-i.MX 95 FPSC supports AI/ML tasks, GPU acceleration, and high-speed multimedia interfaces.

As embedded systems continue to advance, developers are challenged to deliver higher performance while maintaining precise real-time control and compact designs. The phyCORE®-i.MX RT1170 from PHYTEC addresses these demands with a powerful crossover System on Module (SOM) engineered for modern applications such as industrial automation, edge computing, robotics, and medical devices. Product Link: Click Here

phyCORE®-i.MX RT1170: A Real-Time Embedded Powerhouse :

The phyCORE-i.MX RT1170 is a compact and powerful crossover System on Module (SOM) based on NXP’s i.MX RT1170 crossover microcontroller. This SOM perfectly balances high performance, real-time control, and low power consumption, making it ideal for designs that require both application processing and deterministic control responsiveness. Based on the real-time capable Arm® Cortex®-M7 and Cortex-M4 cores, this module offers designers a flexible platform to accelerate development while reducing time-to-market.

Key Features and Technical Highlights :

Here’s why the phyCORE-i.MX RT1170 stands out: ✔ Dual-Core Crossover Architecture ●​ Cortex-M7 @ 1 GHz — High performance application processing ●​ Cortex-M4 @ 400 MHz — Real-time control and deterministic behavior This unique combination means you can run complex user interfaces, connectivity stacks, and algorithms while still delivering hard real-time control. ✔ Extensive Connectivity The module supports a wide range of interfaces commonly needed in embedded products: ●​ USB ●​ CAN ●​ UART / SPI / I2C ●​ Ethernet​ This flexibility allows seamless integration in diverse embedded ecosystems. ✔ Flexible Memory and Storage ●​ Ample memory options for demanding applications ●​ External flash support for data logging, bootloaders, and firmware updates ✔ Industrial-Grade Reliability Designed to operate reliably in real-world environments, it supports industrial temperatures and mounting options that meet the needs of professional applications.

Why It Matters for Your Projects :

With the emergence of intelligent edge computing and smart-connected devices, developers need SOMs that are more than just a microcontroller — they must deliver performance, connectivity, and real-time responsiveness in tight spaces.

Here’s how the phyCORE®-i.MX RT1170 can help: Faster Time to Market By leveraging a pre-designed and tested SOM, development teams avoid the complexity of custom silicon design, reducing risk and shortening product schedules. Enhanced Performance Whether you’re processing sensor data, managing user interfaces, or handling network tasks, the dual-core architecture ensures smooth and efficient performance. Scalability and Flexibility From industrial controllers to consumer devices, the platform supports a wide range of applications, making it a versatile choice for product lines.

Where It Fits in Your Product Ecosystem :

The phyCORE®-i.MX RT1170 is ideal for: 🔹 Industrial Automation 🔹 IoT Edge Devices 🔹 Medical and Measurement Devices 🔹 HMI and Smart Interfaces Reliable, real-time control for motion systems, robotics, and PLC systems. Efficient local processing with connectivity, reducing cloud dependency. Consistent performance within strict timing requirements. Smooth graphical user experiences backed by a capable core.

Conclusion:

Smart EV charging infrastructure is scaling fast, and the market mandates hardware that can deliver reliability, connectivity, security, and long-term stability. PHYTEC’s phyCORE-AM62x System-on-Module (SOM) hits that operational sweet spot, empowering OEMs to accelerate development cycles without compromising robustness.

PHYTEC’s Vision for the Future of EV Charging

Commercial EV chargers today need to stay connected, work smart, and be easy to manage across many locations. PHYTEC designs hardware that can handle tough real-world conditions, helping reduce development effort while keeping chargers running smoothly.

Their approach focuses on stability, long life, and reliable performance — the core things big EV-charging networks look for in important field devices. PHYTEC also supports engineering teams with solid technical help, making it easier to move from early testing to full production without surprises.

Why PHYTEC Stands Out

Industrial-grade hardware design

Long-term product availability

Strong Linux + BSP support

Built for 24/7 field operations in harsh environments

About the phyCORE-AM62x

The phyCORE-AM62x module is the continuation of the phyCORE-AM335x family. The processor offers ultra-low power modes, dual display, multi-sensor edge computing, security and other BOM-saving integrations .

Key Technical Strengths

Up to quad-core Arm Cortex-A53 @ 1.4 GHz

Integrated Cortex-M4F for real-time safety tasks

Dual Gigabit Ethernet, CAN-FD, multiple UART/SPI/I²C interfaces

43 mm × 32 mm compact footprint

Secure boot + Arm TrustZone®

Rich display support + MIPI CSI-2 camera input

This combination makes the module extremely capable for smart chargers that require low power consumption, fast processing, and industrial reliability.

Why This SOM Works for Commercial EV Chargers

Modern chargers run multiple subsystems simultaneously — communication stacks, billing logic, UI, safety mechanisms, and secure updates. The phyCORE-AM62x aligns seamlessly with these operational requirements.

EV Charger Benefits

Smooth handling of OCPP, cloud integration, and billing workflows

Real-time processor offloads safety and control tasks

Multiple connectivity interfaces for sensors, metering, and power modules

GPU + display support enables responsive user interfaces

Secure boot ensures firmware integrity

Compact footprint simplifies hardware integration

Technical Details

Memory Options

eMMC: 16 GB up to 256 GB

DDR4 RAM: 512 MB up to 4 GB

NOR Flash: 64 MB up to 256 MB (Octal/Dual SPI)

EEPROM: 4 KB up to 32 KB

Interfaces

Ethernet: Dual Gigabit (1× on-board PHY, 1× RGMII)

USB: Two USB 2.0 dual-role ports

UART: Up to 10

CAN: 3× CAN FD

I²C: Up to 6

SPI: Up to 4

MMC/SD/SDIO: Up to 2

ePWM: Up to 4

GPMC: 1× 16-bit

Display: 24-bit RGB parallel, OLDI/LVDS (4-lane ×2)

Audio: 3× McASP

Camera: MIPI CSI-2 v1.3

Debug: JTAG

Software Support

Operating System: Linux

RTOS Support: FreeRTOS

Conclusion

Bringing Embedded Power to the Skies : PHYTEC’s phyBOARD-Pollux (i.MX 8M Plus) and phyBOARD-Polis (i.MX 8M Mini) are powerful embedded platforms built for industrial-grade UAVs.  These boards combine high-performance processing, low power consumption, and long-term reliability, making them ideal for professional and commercial drone manufacturers.

Why PHYTEC?

PHYTEC is more than just a hardware provider — it’s a technology partner for embedded innovation.

Expertise in Embedded Design: Over 30 years of experience delivering production-ready SOMs and boards.

Customizable Solutions: From standard modules to tailor-made hardware for your specific UAV needs.

Long-Term Support: Industrial-grade components with guaranteed availability for more than 10 years.

Global Ecosystem: PHYTEC collaborates with NXP, ST, and AMD-Xilinx to deliver top-tier embedded solutions.

End-to-End Partnership: From design to production — PHYTEC supports every stage of your product lifecycle.

With PHYTEC, you get a trusted, future-proof foundation for your industrial drone platform.

Drone Categories That Fit phyBOARD

1. AI Vision Drone

AI Vision drones are best powered by the phyBOARD-Pollux (i.MX 8M Plus), which offers a 2.3 TOPS NPU for onboard AI inference and supports dual-camera inputs for object detection and autonomous navigation. This makes it ideal for power-line inspection and industrial safety applications.

2. Mapping / Survey Drone

Mapping and survey drones suit the phyBOARD-Polis (i.MX 8M Mini), a compact and low-power board capable of 1080p video encode/decode and running QGroundControl for real-time mission visualization. It is widely used in land surveys and construction mapping.

3. Agriculture Drone

Agriculture drones can use the phyBOARD-Pollux for real-time crop health analysis using advanced image processing. This enables smarter farming practices and efficient irrigation planning.

4. Security / Surveillance Drone

Security and surveillance drones benefit from the phyBOARD-Pollux, which uses its NPU for object and person detection, along with live streaming to QGroundControl. Common applications include border patrol and area monitoring.

5. Delivery / Logistics Drone

Delivery and logistics drones integrate well with the phyBOARD-Polis, supporting mission control, telemetry handling, and ROS 2 + PX4-based flight stack integration. These capabilities suit parcel delivery systems and warehouse logistics operations.

6. Research / Educational Drone

For research and educational purposes, the phyBOARD-Polis provides a cost-efficient platform with full Linux support, and is fully compatible with ROS 2 and MAVLink. It is ideal for university labs, robotics clubs, and R&D drone development.

i.MX 8M MINI (phyBOARD-Polis) — QGroundControl (QGC) Compatibility

How It Works:

QGroundControl (QGC) is ground control software that communicates with flight stacks like PX4 or ArduPilot via MAVLink protocol.

Your phyBOARD-Polis can act as a companion computer or mission computer running:

Linux (Yocto BSP provided by PHYTEC)

QGroundControl (Qt-based) — can run natively on i.MX 8M Mini using GPU acceleration (OpenGL ES support).

MAVLink communication over UART, USB, or Wi-Fi with the flight controller (Pixhawk, Cube, or custom FC).

Tested Integration:

PX4 running on Pixhawk → connected via UART or USB → phyBOARD-Polis (Linux) → running QGroundControl / MAVLink router.

Supports live telemetry, mission upload, video streaming (RTSP/GStreamer), and parameter tuning through QGC interface.

Summary

PHYTEC’s phyBOARD-Pollux and phyBOARD-Polis are purpose-built for industrial drone innovation.  They fit perfectly into:

AI-powered inspection drones

Autonomous mapping UAVs

Secure mission control units