Input Devices - Part - 2

Duration: 12 min

This video lesson is available to enrolled students.

Return to /learn/BIHAR-STET-COMPUTER-SCIENCE-COMPLETE-COURSE/unit-15-multimedia/multimedia/multimedia-hardware-software/asset-input-devices-part-2 after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: संख्या पद्धति / Number System, महत्तम समापवर्तक और लघुत्तम समापवर्त्य / HCF and LCM, Divisibility Rules, प्रतिशत / Percentage, अनुपात और समानुपात / Ratio and Proportion, औसत / Average, लाभ, हानि और बट्टा / Profit, Loss and Discount, समय और कार्य / Time and Work, घन क्षेत्रमिति / Solid Mensuration, साधारण और चक्रवृद्धि ब्याज / Simple and Compound Interest, समय, चाल और दूरी / Time, Speed and Distance, Age Problems, मिश्रण और एलिगेशन / Mixture and Alligation, Algebra, सरलीकरण, घातांक और करणी / Simplification, Indices and Surds, Pipe and Cistern, Trigonometry, Statistics, आँकड़ा निर्वचन / Data Interpretation, Arithmetic, समुच्चय, संबंध, फलन और विविक्त गणित / Sets, Relations, Functions and Discrete Mathematics, संख्या पद्धति और संख्या सिद्धांत / Number Systems and Number Theory, निर्देशांक ज्यामिति, सदिश और त्रिविमीय ज्यामिति / Coordinate Geometry, Vectors and 3D Geometry, बहुपद, समीकरण और सम्मिश्र संख्याएँ / Polynomials, Equations and Complex Numbers
  3. Logical Reasoning: श्रेणी / Series, कूट लेखन एवं कूट वाचन / Coding-Decoding, सादृश्यता एवं वर्गीकरण / Analogy and Classification, रक्त संबंध / Blood Relations, दिशा एवं दूरी / Direction and Distance, क्रम एवं रैंकिंग / Order and Ranking, अशाब्दिक तर्क / Non-Verbal Reasoning, बैठक व्यवस्था एवं पहेलियाँ / Seating Arrangement and Puzzles, Syllogisms, वेन आरेख, न्याय वाक्य एवं असमानता / Venn Diagrams, Syllogism and Inequalities, गणितीय संक्रियाएँ एवं लुप्त संख्या / Mathematical Operations and Missing Numbers, वर्णमाला एवं संख्या परीक्षण / Alphabet and Number Test, कथन आधारित तार्किक विवेचन / Statement-Based Reasoning, Analytical Reasoning (Counting Figures Reasoning), घन, पासा एवं आकृतियों की गिनती / Cubes, Dice and Figure Counting, कैलेंडर एवं घड़ी / Calendar and Clock, Clock
  4. General Knowledge: वैज्ञानिक उपलब्धियाँ और अनुसंधान / Scientific Achievements and Research, Chemistry, Biology, History, Geography, Polity, Indian Economy, समसामयिकी / Current Affairs, Static General Knowledge, राज्य विशेष सामान्य ज्ञान / State-Specific General Knowledge
  5. Art of Teaching: शिक्षण-अधिगम प्रक्रिया एवं कक्षा प्रबंधन / Teaching-Learning Process and Classroom Management, Learners & Learning Process, Factors Affecting Teaching, शिक्षण विधियाँ एवं उपागम / Teaching Methods and Approaches, सूक्ष्म शिक्षण एवं कक्षा संप्रेषण / Microteaching and Classroom Communication, शिक्षण सहायक सामग्री एवं शैक्षिक तकनीकी / Teaching Aids and Educational Technology, आकलन एवं मूल्यांकन / Assessment and Evaluation, शिक्षक: गुण, व्यावसायिक नैतिकता एवं विकास / Teacher: Qualities, Professional Ethics and Development, शैक्षिक नीतियाँ, अधिनियम एवं प्रशासन / Educational Policies, Acts and Administration, पाठ्यचर्या, कला एवं सह-शैक्षिक क्षेत्र / Curriculum, Arts and Co-curricular Areas, निर्देशन एवं परामर्श / Guidance and Counselling, दिव्यांग बच्चों की शिक्षा / Education of Children with Disabilities, Micro-Teaching & Teaching Skills, पाठ योजना / Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML, Node.js, Git & Github, PHP
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing, कंप्यूटर नेटवर्क / Computer Networks, Internet of Things
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture segment covers two categories of input devices: sensor-based and automatic data capture. The first part introduces sensors as input devices that detect physical conditions or environmental changes and convert them into electrical or digital signals for computer processing. Seven specific sensor types are presented in a grid format: Motion Sensor, Light Sensor, Temperature Sensor, Proximity Sensor, Pressure Sensor, Accelerometer, and Gyroscope Sensor. Each sensor is illustrated with an image showing its application in multimedia systems, games, or interactive environments. The instructor uses red digital ink to highlight key terms and draw diagrams while explaining the concepts. The second part transitions to automatic data capture devices, which automatically capture and interpret information for multimedia systems. Four device types are presented: Barcode Reader, QR Code Reader, OMR (Optical Mark Recognition), and MICR (Magnetic Ink Character Recognition). Each device is shown with a description and example image, such as a handheld scanner for barcode readers and a phone displaying a QR code. The MICR panel shows a sample bank check with the label 'MICR Code,' illustrating its use in bank cheque processing.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The slide is headed '6. SENSOR-BASED INPUT DEVICES' with a paragraph defining sensors as input devices that detect physical conditions and convert them to electrical or digital signals. A grid of seven labeled cards is shown: Motion Sensor, Light Sensor, Temperature Sensor, Proximity Sensor, Pressure Sensor, Accelerometer, and Gyroscope Sensor. Each card pairs an image with a caption, e.g., the Temperature Sensor shows '24°C' and the Proximity Sensor screen reads 'Welcome.' Captions include 'Used in motion-controlled games and interactive multimedia systems' and 'Used in automatic screen brightness adjustment.'

  2. 2:00 – 5:00 02:00-05:00

    The instructor continues explaining sensor-based input devices, using red digital ink to highlight key terms and draw diagrams. Red underlines mark phrases like 'input devices,' 'sensors can be used to capture real-world information,' and 'interactive applications.' Red checkmarks are added over the top-row sensor headers (Motion, Light, then Temperature and Proximity) as the frames progress. The instructor gestures with hands to emphasize points about the different sensor types and their applications in multimedia systems, games, or interactive environments.

  3. 5:00 – 10:00 05:00-10:00

    The video transitions from the sensor-based input devices slide to one covering automatic data capture devices. The instructor uses red digital ink to highlight key terms and draw diagrams, such as a barcode grid and a table structure. Slide 7 introduces automatic data capture devices including barcode readers, QR code readers, OMR, and MICR. The instructor draws a red grid over the barcode image to illustrate its structure. Red arrows point to specific parts of the sensor images, and a red circle highlights the 'Gyroscope Sensor' label with a 3D axis diagram drawn next to it.

  4. 10:00 – 12:19 10:00-12:19

    The slide is headed '7. AUTOMATIC DATA CAPTURE DEVICES' with an intro line underlined in red at 'information-based' and 'content-access applications.' Four colored panels fill the slide: a blue 'Barcode Reader,' a green 'QR Code Reader,' a pink 'OMR (Optical Mark Recognition),' and an orange 'MICR (Magnetic Ink Character Recognition),' each with body text and an 'Examples:' line. Red hand-drawn annotations mark the slide, including a red circle around the QR code on the phone and on the 'Scan to Watch Video' card, and a circled line on the 'ABC BANK' check with an arrow labeled 'MICR Code.' The MICR panel shows a sample bank check illustrating its use in bank cheque processing.

The lecture progresses from defining sensor-based input devices to presenting specific examples, then transitions to automatic data capture devices. The teaching flow emphasizes the conversion of physical conditions into digital signals for computer processing, with practical applications in multimedia systems and interactive environments. The instructor uses visual annotations to highlight key concepts and relationships between device types.

Loading lesson…