DRT 464 · 3(2-3-5) · Year/term 4/2

Sensor and Surveillance Camera Technology

เทคโนโลยีเซนเซอร์และระบบกล้องตรวจการณ์

Progress

Notional hours: 150 h (online/self-study 75 · in class/lab 75)

Course description

Principles of optics and image sensors; visible, thermal and multispectral cameras; image stabilisation and gimbals; LiDAR and radar sensors; selecting and configuring sensors for operating conditions; evaluating image data quality and metrics.

Thai description

หลักการของออปติกและเซนเซอร์ภาพ กล้องแสงปกติ กล้องความร้อน และกล้องหลายช่วงคลื่น ระบบรักษาเสถียรภาพภาพและ gimbal เซนเซอร์ LiDAR และเรดาร์ การเลือกและตั้งค่าเซนเซอร์ให้เหมาะกับสภาพแวดล้อม การประเมินคุณภาพข้อมูลภาพและตัวชี้วัด

Description source: New draft for the curriculum committee

Course learning outcomes (CLO)

CLO	Outcome	PLO
CLO1	Explain surveillance camera and sensor principles	PLO1PLO2
CLO2	Select and configure surveillance sensors for conditions	PLO2
CLO3	Evaluate image data quality for decisions	PLO4

Learning modules

1Optics and image sensors
Weeks 1–3 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

EO/IR cameras and gimbalsIn development
Camera settings and image-quality checksTH

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

2Thermal cameras
Weeks 4–6 · 30 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Principles of thermal imagingIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

3Gimbals and stabilisation
Weeks 7–9 · 30 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

EO/IR cameras and gimbalsIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

4LiDAR and radar
Weeks 10–12 · 30 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

LiDAR, radar and obstacle-avoidance sensorsIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

5Image quality and metrics
Weeks 13–15 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

Assessment (draft)

Labs and worksheets	35%
Module quizzes	10%
Midterm examination	20%
Mini-project or practical exam	35%

Knowledge domain

D04 Sensors and embedded systems D09 Law, safety and risk D11 Artificial intelligence and computer vision D12 Automation, robotics and swarms D13 Surveying, mapping and geoinformatics D14 Inspection, industry and surveillance D16 Public safety and disasters D18 Management, innovation and professional practice

Key references

Vollmer, M., & Möllmann, K.-P. (2017). Infrared thermal imaging: Fundamentals, research and applications (2nd ed.). Wiley-VCH.
Fraden, J. (2016). Handbook of modern sensors (5th ed.). Springer.