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Cambridge IGCSE Computer Science · 0478

Topic 6: Automated and Emerging Technologies — Part 1

Automated Systems

What is an automated system?

An automated system carries out tasks with minimal or no human intervention. It continuously monitors conditions and responds without a person controlling each step.

Most automated systems follow a repeating loop of three components:

Sensors
Detect physical inputs from the environment (e.g. temperature, light level, moisture) and convert them into electrical signals that the system can process.
Microprocessors
Receive the sensor data, process it according to programmed instructions, and decide what action to take.
Actuators
Carry out the decision by making a physical change (e.g. opening a valve, switching a motor on, adjusting a heater).
Feedback loop showing environment feeding physical inputs to sensors, then microprocessor, then actuators, with a dashed feedback arrow back to the environment
Diagram 1: Sensors detect inputs, the microprocessor processes and decides, and actuators produce physical change — forming a continuous feedback loop.

Automated systems in different scenarios

Scenario Advantages Disadvantages
Industry Increased efficiency and accuracy; can operate in hazardous areas unsafe for humans. High costs; potential job losses; system failures can halt production.
Transport Improved safety, better traffic flow, and reduced fuel consumption. Infrastructure costs; risk of hacking; ethical challenges (e.g. decision-making in emergencies).
Agriculture Precise watering, continuous crop monitoring, and less manual labour. Expensive to install; loss of traditional farming skills; sensor damage in harsh conditions.
Weather Continuous remote data collection and improved forecasting. Equipment vulnerable to extreme weather damage; needs regular calibration; outages disrupt data collection.
Lighting Energy savings, improved safety, and remote monitoring. Expensive installation; false triggers (e.g. motion sensors activated by animals).
Science Precision and reduced human error in experiments and data collection. Complex maintenance; over-reliance on automated results without human verification.

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