Input Devices - Part - 2

Duration: 12 min

This video lesson is available to enrolled students.

Return to /learn/DSSSB-TGT-COMPUTER-SCIENCE-COMPLETE-COURSE/computer-graphics-multimedia-mobile-computing/multimedia/multimedia-hardware-software/asset-input-devices-part-2 after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Section A: General Awareness: Polity, Physics, Biology, Chemistry, Static General Knowledge, History, Geography, Indian Economy, GK- Current Affairs, Evolution of Indian Banking (Banking & Financial Awareness), Environment
  3. Section A: General Intelligence & Reasoning ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Blood Relations, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Directions (Direction Test), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Crypt Arithmetic, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence, TCS NQT Advanced Reasoning Ability
  4. Section A: Arithmetical & Numerical Ability: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, Mensuration and Geometry, Powers and Exponents (Surds and Indices), Algebra, Probability, Mental Ability, Age Problems, Partnership, Statistics, Arithmetic, Speed Mathematics and Basic Mathematics, Miscellaneous
  5. Section A: English Language & Comprehension: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Articles, Sentence Construction, Preposition, Direct and Indirect Speech, Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Modals, Active Passive Voice (Voice), Sentence Correction (Error Correction), Adverb, Conjunction, Cloze Test (Cloze Passage)
  6. Section A: Hindi Language & Comprehension: भाषा, लिपि, ध्वनि, वर्ण, अक्षर, स्वर, व्यंजन, मात्रा और संयुक्ताक्षर, वर्तनी, वर्ण-विन्यास, अनुस्वार, अनुनासिक, चंद्रबिंदु और ‘र’ के रूप, शब्द, पद और शब्द-भेद, संज्ञा और सर्वनाम, विशेषण और क्रिया, लिंग, वचन, पुरुष और कारक, काल, वाच्य, वाक्य और वाक्य-भेद, संधि, समास, विलोम शब्द, पर्यायवाची शब्द, सामान्य अशुद्धियाँ, अनेक शब्दों के लिए एक शब्द, मुहावरे और लोकोक्तियाँ, अपठित गद्यांश और अपठित पद्यांश, Multi-Topic Content (Cross-Concept Material), वर्णमाला
  7. Section B: Programming, Data Structures, OOP & Java: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Java, OOPS with C++, Language Design, Intro to Compilers, Visual Basics, Syntax Analysis: Bottom-Up, Object Oriented Technology
  8. Section B: Computer Networks, TCP/IP & Network Security: Introduction to CN, Data Communication, DLL: Flow Control, DLL: Access Control, DLL: Error Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Access Technologies, Network Security, Society, Law & Ethics, Mobile Computing, Net Layer:Routing Protocol, Cyber Safety and Security
  9. Section B: Teaching Methodology: Child Development, Concept of Pedagogy, Theories, Inclusive Education, Experiential Pedagogy, Assessment & Evaluation, Curriculum Framework & Reforms, National Education Policy (NEP) 2020, Psychology, Teaching-Learning Process, Personality Development, Teaching Methods & Strategies, Learning and Motivation, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Nature, Objectives & Characteristics of Teaching, Teaching-Learning Aids & ICT Integration, Classroom Management & Communication, Evaluation, Assessment & Measurement, Curriculum & School Environment, Inclusive Education & Special Needs, Professional Development & Ethics
  10. Section B: Digital Electronics / Boolean Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Analog-Digital Conversion
  11. Section B: Operating Systems & Linux: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, File Management, Disc Scheduling, Unix OS, Linux OS, Distributed Systems, Windows OS
  12. Section B: Data Base Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, File Organization & Indexing, Transaction Management, Concurrency Control, Database Security & Authorization, Database Recovery, Data Warehousing & Mining
  13. Section B: Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, HTML Basics, CSS, Emerging Technologies, JavaScript-Basics, .Net Programming, Electronic Data Interchange and E-Commerce, XML
  14. Section B: Computer Fundamentals, IT Basics & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer, Terms & Abbreviations, MS Office Applications, Instr Formats & Modes, Floating Point Rep
  15. Section B: Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  16. Section B: Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, extras, Fundamentals of Systems and Information Systems
  17. Section B: Design & Analysis of Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  18. Section B: Mathematics: Linear Algebra, Calculus, Trigonometry, Vectors, Set Theory, Functions, Relations, Propositional and Predicate Logic, Research Process Steps, Graph Theory
  19. Section B: Computer Graphics, Multimedia & Mobile Computing: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, Multimedia
  20. Section B: Emerging Trends: Emerging Tech Trends, Knowledge Representation, Natural Language Processing
  21. DSSSB Previous Year Paper:
  22. Business Studies and Management: Business Communication, Business Organization and Management, Financial Accounting, Business Economics, Management Information System (MIS), Knowledge Management & New Economy
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…