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Sensors and Artificial Perception
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ENGIN3403 - Sensors and Artificial Perception
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20270200
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Course
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2.0
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2026-09-10
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2026-09-10
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Engineering
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Institute of Innovation, Science & Sustainability
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Engineering
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Undergraduate
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15
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.125
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030101
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Manufacturing Engineering
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030101 - Manufacturing Engineering
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<a href="http://www.federation.edu.au/locate/unit/engin3403">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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7
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Bachelor Degree
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<p>This unit introduces students to the advanced concepts of sensors in artificial perception. The students will learn about the principles behind operation and functionality of different types of sensors and will be provided with knowledge to classify them in accordance to their performance and characteristics. Students will gain knowledge of the data acquisition and conditioning from a sensor system and acquire necessary skills to analyse, comprehend and apply the results to a mechatronic system. In addition to the theoretical knowledge, students will gain practical skills through different projects, assignments and laboratory works, which they would be able to correlate to industrial applications. The unit will enable students to develop strong skills in sensor systems and associated programming techniques, which they would be able to apply in designing and developing physical mechatronic systems and processes.</p>
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<p>•Sensor principle, overview of linear and rotational sensors along with flow, temperature, distance, force, torque and acceleration sensors.<br>
•Overview of light, image and vision systems.<br>
•Study of various sensors for autonomous systems including gyroscope, infrared, sonar, odor, tactile, proximity, Hall Effect and vision based sensors.<br>
•Sensor data acquisition, conditioning and various techniques for integrating and processing the data from different sensors / sensor array.<br>
•Sensor fusion techniques and design and development of a model robot with integrated sensors and associated electronics and software.<br>
•Sensor sensitivity and accuracy.<br>
•RF and optical position / location system.<br>
•Triangulation, ranging, phase shifting measurement and frequency modulation</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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Overview
Key information
Requisites
Learning outcomes
Assessment
FedTASK
Parent Region
Overview
Unit description
<p>This unit introduces students to the advanced concepts of sensors in artificial perception. The students will learn about the principles behind operation and functionality of different types of sensors and will be provided with knowledge to classify them in accordance to their performance and characteristics. Students will gain knowledge of the data acquisition and conditioning from a sensor system and acquire necessary skills to analyse, comprehend and apply the results to a mechatronic system. In addition to the theoretical knowledge, students will gain practical skills through different projects, assignments and laboratory works, which they would be able to correlate to industrial applications. The unit will enable students to develop strong skills in sensor systems and associated programming techniques, which they would be able to apply in designing and developing physical mechatronic systems and processes.</p>
Unit content
<p>•Sensor principle, overview of linear and rotational sensors along with flow, temperature, distance, force, torque and acceleration sensors.<br> •Overview of light, image and vision systems.<br> •Study of various sensors for autonomous systems including gyroscope, infrared, sonar, odor, tactile, proximity, Hall Effect and vision based sensors.<br> •Sensor data acquisition, conditioning and various techniques for integrating and processing the data from different sensors / sensor array.<br> •Sensor fusion techniques and design and development of a model robot with integrated sensors and associated electronics and software.<br> •Sensor sensitivity and accuracy.<br> •RF and optical position / location system.<br> •Triangulation, ranging, phase shifting measurement and frequency modulation</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
030101 - Manufacturing Engineering
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/engin3403">View unit fees</a>
Requisites
Prerequisite
<p>If undertaking an Undergraduate Course THEN must have completed ENGIN2402</p>
Corequisite
None
Exclusion
<p> must not have completed ENMTX3060</p>
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Demonstrate understanding of sensor principles.</p>
K2
<p>Explain the operation, characteristics and performance of different types of sensors.</p>
K3
<p>Reflect on the understanding of light, image and vision system.</p>
K4
<p>Demonstrate understanding of data conditioning alongside interpreting, analysing and evaluating data extracted from the sensors.</p>
K5
<p>Identify and explain sensor fusion techniques.</p>
K6
<p>Demonstrate understanding of various sensors in autonomous systems for perceiving the environment.</p>
K7
<p>Explain the working principles and operation of sensor system.</p>
S1
<p>Integrate, test and critically analyse data obtained from different sensors / sensor array.</p>
S2
<p>Perform sensor data conditioning with appropriate software.</p>
S3
<p>Perform required programming associated with sensor data acquisition and processing.</p>
S4
<p>Analyse sensitivity and accuracy of different sensors.</p>
A1
<p>Design and develop a sensor system towards automation of a mechatronic industrial process.</p>
A2
<p>Develop model robot with sensors and associated electronics and software.</p>
A3
<p>Design an effective unmanned vehicle / autonomous mobile robot navigation system.</p>
A4
<p>Interface sensor systems and artificial intelligence methodology in an industrial mechatronic process to achieve desired control and automation.</p>
Assessment
Learning Tasks and Assessment
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
FedTASK
FedTASK
Description of FedTASK outcome
Level
FedTASK 1: Interpersonal
The ability to effectively communicate, interact and work with others both individually and in groups.
FedTASK 2: Leadership
The ability to apply professional skills and behaviours in leading others.
FedTASK 3: Critical Thinking and Creativity
The ability to work in complexity and ambiguity using imagination to create new ideas.
FedTASK 4: Digital Literacy
The ability to work fluently across a range of tools and applications to achieve a range of skills.
FedTASK 5: Sustainable and Ethical Mindset
The ability to consider and assess the consequences and impact of ideas and actions in enacting ethical and sustainable decisions.
FedTASK
<p>Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FedTASKs (<strong>T</strong>ransferable <strong>A</strong>ttributes <strong>S</strong>kills and <strong>K</strong>nowledge) provide a targeted focus on five key, transferable Attributes, Skills, and Knowledge that are embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and co-operative learning opportunities.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
030101 - Manufacturing Engineering
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/engin3403">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: ENGIN3403 - U2.0