| Effective Term: | 2024/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Sensors and Artificial Perception |
| Unit ID: | ENGIN3403 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ENGIN2402) |
| Co-requisite(s): | Nil |
| Exclusion(s): | (ENMTX3060) |
| ASCED: | 030101 |
| Other Change: | |
| Brief description of the Unit |
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. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:No |
| Supplementary assessment is not available to students who gain a fail in this Unit. |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | |  | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Demonstrate understanding of sensor principles. |
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| K2. | Explain the operation, characteristics and performance of different types of sensors. |
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| K3. | Reflect on the understanding of light, image and vision system. |
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| K4. | Demonstrate understanding of data conditioning alongside interpreting, analysing and evaluating data extracted from the sensors. |
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| K5. | Identify and explain sensor fusion techniques. |
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| K6. | Demonstrate understanding of various sensors in autonomous systems for perceiving the environment. |
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| K7. | Explain the working principles and operation of sensor system. |
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| Skills: |
| S1. | Integrate, test and critically analyse data obtained from different sensors / sensor array. |
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| S2. | Perform sensor data conditioning with appropriate software. |
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| S3. | Perform required programming associated with sensor data acquisition and processing. |
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| S4. | Analyse sensitivity and accuracy of different sensors. |
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| Application of knowledge and skills: |
| A1. | Design and develop a sensor system towards automation of a mechatronic industrial process. |
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| A2. | Develop model robot with sensors and associated electronics and software. |
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| A3. | Design an effective unmanned vehicle / autonomous mobile robot navigation system. |
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| A4. | Interface sensor systems and artificial intelligence methodology in an industrial mechatronic process to achieve desired control and automation. |
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| Unit Content: |
•Sensor principle, overview of linear and rotational sensors along with flow, temperature, distance, force, torque and acceleration sensors.
•Overview of light, image and vision systems.
•Study of various sensors for autonomous systems including gyroscope, infrared, sonar, odor, tactile, proximity, Hall Effect and vision based sensors.
•Sensor data acquisition, conditioning and various techniques for integrating and processing the data from different sensors / sensor array.
•Sensor fusion techniques and design and development of a model robot with integrated sensors and associated electronics and software.
•Sensor sensitivity and accuracy.
•RF and optical position / location system.
•Triangulation, ranging, phase shifting measurement and frequency modulation |
| Graduate Attributes: |
| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | | 1. | S1-S4, A1-A4 | Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the unit. | Reports, demonstrations | 10 - 30% | | 2. | K1-K7, S1-S4 | Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the unit. | Assignments, quizzes | 10 - 30% | | 3. | K1-K7 | Questions and problems related to the unit contents. | Exams / Tests | 40 - 60% |
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