Embedded Systems

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Last updated 7:25 AM on 10/9/26
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55 Terms

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Processor (MCU/MPU)

What component executes instructions and controls the operations of an embedded system?

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Memory (RAM, ROM, and Flash)

What component stores temporary data and holds firmware and program code?

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I/O Interfaces

What interfaces connect an embedded system to sensors and other devices?

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Sensors and Actuators
What components read the environment and perform actions based on system commands?
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Power Supply
What component regulates and delivers the correct voltage and current to an embedded system?
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Communication Modules
What components enable data exchange through Wi-Fi, Bluetooth, and LoRa?
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RAM (Random Access Memory)
What type of memory stores temporary data while a system is operating?
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ROM/Flash Memory
What type of memory stores firmware and code in an embedded system?
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GPIO (General-Purpose Input/Output)
What interface allows an embedded system to communicate with external devices using general-purpose input and output pins?
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Universal Asynchronous Receiver-Transmitter
What serial communication interface is commonly abbreviated as UART?
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SPI (Serial Peripheral Interface)
What serial communication interface uses a clock line and data line for communication?
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I2C (Inter-Integrated Circuit)
What communication interface uses two signal lines, SDA and SCL?
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System-on-Chip (SoC)
What technology integrates most or all computer components onto a single silicon chip?
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Processing Cores
What SoC component contains CPU cores and may include GPU/NPU cores for graphics and AI acceleration?
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Memory Controllers
What SoC component manages communication between the processor and external RAM or storage?
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Integrated Peripherals
What SoC components provide built-in display, camera, audio, and wireless interfaces?
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Interconnect Bus
What high-speed internal connection links the different blocks of an SoC?
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AMBA and AXI
What examples of interconnect bus technologies are mentioned in the presentation?
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Raspberry Pi
What type of computer is built on a single circuit board and can be used for computing, edge AI, and servers?
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Arduino
What microcontroller platform is suited for simple sensing and control without requiring an operating system?
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ESP32
What dual-core 32-bit microcontroller platform has built-in Wi-Fi and Bluetooth?
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Raspberry Pi
Which single-board computing platform runs a Linux-based operating system?
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Arduino
Which platform operates without an operating system using bare-metal programming?
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ESP32
Which platform can use no operating system or a lightweight real-time operating system?
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Raspberry Pi
Which platform is best suited for compute-heavy tasks according to the presentation?
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Arduino
Which platform is best suited for deterministic real-time control according to the presentation?
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ESP32
Which platform is best suited for low-power wireless IoT applications according to the presentation?
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Edge AI
What type of AI runs machine learning models directly on a local device instead of the cloud?
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Reduced latency, improved privacy, and offline operation
What is the benefit of running AI locally rather than relying on cloud processing?
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AI Accelerators
What components speed up machine learning inference using specialized hardware?
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NPUs, GPUs, and TPUs
What are examples of AI accelerators mentioned in the presentation?
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TinyML
What lightweight machine learning technology is designed for embedded devices with limited resources?
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TensorFlow Lite
What machine learning framework is mentioned alongside TinyML for lightweight embedded models?
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Sensors and Data Pipelines
What components collect real-time information, such as images and sound, to feed an AI model?
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Local Inference Engine
What Edge AI component loads a model and makes predictions directly on the device?
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Inference
What process involves running a trained AI model to generate predictions from data?
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Real-Time Processing
What design consideration requires responding to inputs within strict, predictable time limits?
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Power Efficiency
What design consideration minimizes energy consumption through low-power components, sleep modes, and efficient code?
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Form Factor
What design consideration matches the physical size and shape of a device to its intended application?
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To bring computing power directly to where data is generated, enabling smarter, faster, and more efficient devices
What is the main purpose of embedded systems combined with Edge AI?
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1. Core Components of an Embedded System; 2. System-on-Chip (SoC) Architecture and Integration; 3. Single-Board Computer Design and Comparison; 4. Edge AI Components; 5. Design Considerations
ENUMERATION: What are the five main topics in the presentation's agenda?
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1. Processor (MCU/MPU); 2. Memory; 3. I/O Interfaces; 4. Sensors and Actuators; 5. Power Supply; 6. Communication Modules
ENUMERATION: What are the six core components of an embedded system?
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1. Processing Cores; 2. Memory Controllers; 3. Integrated Peripherals; 4. Interconnect Bus
ENUMERATION: What are the four main SoC components discussed in the presentation?
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1. Raspberry Pi; 2. Arduino; 3. ESP32
ENUMERATION: What are the three computing platforms compared in the presentation?
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1. Processor; 2. Typical Use; 3. Operating System (OS); 4. Power Draw; 5. Connectivity
ENUMERATION: What five features are used to compare Raspberry Pi, Arduino, and ESP32?
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1. Raspberry Pi — Computing, edge AI, and servers; 2. Arduino — Simple sensing and control; 3. ESP32 — IoT connectivity and low-power sensing
ENUMERATION: What are the three platforms' typical uses according to the presentation?
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1. Raspberry Pi — Linux-based; 2. Arduino — None (bare-metal); 3. ESP32 — None or lightweight RTOS
ENUMERATION: What are the three platforms' operating-system arrangements?
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1. Raspberry Pi — Wi-Fi, Bluetooth, Ethernet, and USB; 2. Arduino — Limited connectivity and may need shields; 3. ESP32 — Built-in Wi-Fi and Bluetooth
ENUMERATION: What connectivity options are listed for Raspberry Pi, Arduino, and ESP32?
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1. AI Accelerators; 2. Lightweight ML Models; 3. Sensors and Data Pipelines; 4. Local Inference Engine
ENUMERATION: What are the four main components of an Edge AI system?
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1. NPU; 2. GPU; 3. TPU
ENUMERATION: What three types of processors or hardware accelerate machine learning inference?
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1. TensorFlow Lite; 2. TinyML
ENUMERATION: What two lightweight machine learning technologies or frameworks are mentioned?
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1. Real-Time Processing; 2. Power Efficiency; 3. Form Factor
ENUMERATION: What are the three design considerations discussed in the presentation?
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1. Reduced Latency; 2. Improved Privacy; 3. Offline Operation
ENUMERATION: What three benefits of Edge AI are stated in the presentation?
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1. Raspberry Pi — Compute-heavy tasks; 2. Arduino — Deterministic real-time control; 3. ESP32 — Low-power wireless IoT
ENUMERATION: What are the three main differences between Raspberry Pi, Arduino, and ESP32 in terms of recommended tasks?
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1. Wearable; 2. Industrial Sensor; 3. Compact IoT Node
ENUMERATION: What are the three examples of physical applications used to explain form factor?