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DIP in IoT & Embedded Systems — MCQs | Digital Image Processing

1. Which type of sensor is commonly used in IoT devices for capturing images?

(A) Ultrasonic sensor


(B) PIR sensor


(C) CMOS sensor


(D) Humidity sensor



2. What is the primary role of an embedded system in a digital image processing application?

(A) Generating user interfaces


(B) Capturing wireless signals


(C) Performing real-time processing of images


(D) Uploading images to cloud



3. Which processor is commonly used in embedded image processing for IoT applications?

(A) Intel Xeon


(B) AMD Ryzen


(C) ARM Cortex


(D) PowerPC



4. Which protocol is typically used to transmit image data in IoT applications?

(A) FTP


(B) MQTT


(C) POP3


(D) SMTP



5. In an embedded system, why is memory optimization crucial in DIP tasks?

(A) To ensure faster Wi-Fi connectivity


(B) To reduce image resolution


(C) To maintain performance within hardware constraints


(D) To support large storage



6. What does edge computing offer in IoT image processing applications?

(A) Centralized control of image acquisition


(B) Real-time local processing of data


(C) Energy harvesting capabilities


(D) Extended image compression



7. Which compression technique is best suited for low-power embedded IoT systems?

(A) RLE


(B) JPEG


(C) TIFF


(D) RAW



8. What type of camera module is often integrated into IoT embedded platforms like Raspberry Pi?

(A) DSLR module


(B) Thermal module


(C) Pi Camera


(D) HD-CVI module



9. Which of the following is an example of an embedded board used in image processing?

(A) Arduino Nano


(B) Jetson Nano


(C) NodeMCU


(D) BeagleBone Black



10. Why is energy efficiency a key concern in DIP for IoT systems?

(A) To reduce storage cost


(B) To enable edge AI


(C) Because devices often run on limited battery


(D) To increase data rates



11. What kind of filtering is used to remove noise in images on embedded platforms?

(A) High-pass filtering


(B) Band-stop filtering


(C) Median filtering


(D) Threshold filtering



12. Which language is often used for developing DIP algorithms in embedded systems?

(A) Java


(B) Python


(C) Verilog


(D) C++



13. Which embedded system feature improves performance of image convolution operations?

(A) Floating-point unit


(B) SD card slot


(C) GPIO pins


(D) USB ports



14. Which technique is used in IoT cameras for detecting motion?

(A) Discrete Fourier Transform


(B) Motion Estimation


(C) Color Enhancement


(D) Chromatic Mapping



15. Which of the following frameworks is suitable for deploying machine learning models on embedded IoT devices for image tasks?

(A) TensorFlow Lite


(B) OpenCV DNN


(C) Matplotlib


(D) Apache Spark



16. Which module is essential for wireless image transmission in IoT systems?

(A) Bluetooth


(B) USB-C


(C) Wi-Fi


(D) HDMI



17. What is the primary limitation of performing DIP on microcontrollers?

(A) Image quality


(B) Processing power


(C) Display resolution


(D) Connectivity



18. Which algorithm is commonly used for face detection in embedded vision systems?

(A) Sobel


(B) Haar cascade


(C) Hough Transform


(D) Fourier Transform



19. Which file format is commonly used for storing images in embedded IoT devices?

(A) .docx


(B) .bmp


(C) .exe


(D) .csv



20. Which microcontroller board supports camera interface and can process images?

(A) Arduino Uno


(B) ESP32-CAM


(C) ATmega328P


(D) 8051



21. What is the role of a GPU in embedded DIP systems?

(A) Capturing audio


(B) Real-time display generation


(C) Accelerating parallel image operations


(D) Increasing flash storage



22. Which technology allows remote control of embedded DIP devices?

(A) NFC


(B) RF


(C) MQTT over Wi-Fi


(D) HDMI



23. Which component is crucial for storing processed images locally in embedded systems?

(A) RAM


(B) ROM


(C) EEPROM


(D) SD card



24. What is the typical resolution supported by image sensors in IoT embedded platforms?

(A) 1920×1080


(B) 300×200


(C) 640×480


(D) 128×64



25. Which tool is best suited for debugging DIP code on embedded boards?

(A) Wireshark


(B) GDB


(C) Adobe Photoshop


(D) AutoCAD



26. Which sensor is used for thermal imaging in embedded IoT systems?

(A) CMOS


(B) LDR


(C) IR sensor


(D) Thermopile sensor



27. Which device can simultaneously capture, process, and transmit images in IoT?

(A) Thermal printer


(B) Smart camera


(C) LCD screen


(D) Image scanner



28. What is a challenge in DIP on embedded IoT systems?

(A) High-speed GPU access


(B) Low latency internet


(C) Limited computing and memory resources


(D) Absence of software libraries



29. Which algorithm is efficient for edge detection in low-power embedded systems?

(A) Canny


(B) DCT


(C) PCA


(D) FFT



30. Which camera type is preferred for embedded surveillance systems?

(A) USB camera


(B) Web camera


(C) IP camera


(D) DSLR camera



31. What is the main use of OpenCV in embedded DIP projects?

(A) File compression


(B) Image analysis and processing


(C) Cloud hosting


(D) Sensor calibration



32. What does the term “frame rate” refer to in embedded video processing?

(A) Image size


(B) Number of pixels


(C) Frames displayed per second


(D) Image resolution



33. Which DIP task is critical in autonomous IoT robots?

(A) Gesture enhancement


(B) Object detection


(C) Image watermarking


(D) Signal decoding



34. Why is real-time performance important in IoT DIP applications?

(A) For delayed responses


(B) To reduce storage size


(C) To support immediate actions based on image data


(D) For offline analytics



35. Which processor offers GPU support for embedded vision tasks?

(A) STM32


(B) Jetson TX2


(C) AVR


(D) MSP430



36. Which interface is used to connect cameras in embedded boards?

(A) SPI


(B) UART


(C) CSI


(D) PWM



37. Which file type is suitable for compressed video transmission in IoT?

(A) .avi


(B) .zip


(C) .mp4


(D) .txt



38. What is the benefit of using FPGAs in DIP for embedded systems?

(A) Easy programming


(B) Reduced size


(C) Parallel processing capabilities


(D) Higher voltage tolerance



39. Which technique is useful in DIP for tracking movement in IoT devices?

(A) Template matching


(B) Spectral analysis


(C) Morphological opening


(D) Homography



40. Which memory type is most used for storing firmware in embedded DIP systems?

(A) RAM


(B) Flash


(C) ROM


(D) EEPROM



41. Which operating system is optimized for embedded DIP applications?

(A) Ubuntu


(B) Fedora


(C) FreeRTOS


(D) Windows



42. Which communication protocol allows secure transmission of image data in IoT?

(A) HTTP


(B) FTP


(C) HTTPS


(D) SMTP



43. Why is image thresholding used in embedded DIP systems?

(A) To reduce file format


(B) For color enhancement


(C) To convert grayscale images to binary


(D) For image encryption



44. Which AI technique is used in smart cameras for real-time image understanding?

(A) CNN


(B) K-means


(C) PCA


(D) LDA



45. Which power source is most suitable for outdoor embedded image systems?

(A) USB


(B) Solar panels


(C) AC mains


(D) Battery charger



46. Which microcontroller supports AI-based image processing at edge?

(A) STM32


(B) Arduino Uno


(C) ESP8266


(D) Kendryte K210



47. Which format is most used for grayscale images in embedded processing?

(A) RGB


(B) CMYK


(C) YUV


(D) PGM



48. Which interface allows camera synchronization in embedded stereo vision?

(A) HDMI


(B) CSI


(C) GPIO


(D) USB



49. Which real-time image task is used in embedded vehicle safety systems?

(A) Color mapping


(B) Lane detection


(C) Image stitching


(D) Depth estimation



50. Which embedded OS is often used in Raspberry Pi for DIP applications?

(A) Android


(B) Debian


(C) Raspbian


(D) Chrome OS



More MCQs on Digital image Processing

  1. Introduction to DIP — MCQs | Digital Image Processing

  2. Human Visual System (HVS) — MCQs | Digital Image Processing

  3. Image Acquisition Devices — MCQs | Digital Image Processing

  4. Image Sampling & Quantization — MCQs | Digital Image Processing

  5. Image Resolution & Bit Depth — MCQs | Digital Image Processing

  6. Basic Image Operations (Negative, Log, Power-law) — MCQs | Digital Image Processing

  7. Histogram Equalization & Specification — MCQs | Digital Image Processing

  8. Contrast Stretching — MCQs | Digital Image Processing

  9. Image Arithmetic (Add, Subtract, Multiply, Divide) — MCQs | Digital Image Processing

  10. Bit-plane Slicing — MCQs | Digital Image Processing

  11. Smoothing Filters (Mean, Gaussian, Median) — MCQs | Digital Image Processing

  12. Sharpening Filters (Laplacian, Gradient) — MCQs | Digital Image Processing

  13. High-Boost Filtering — MCQs | Digital Image Processing

  14. Edge Detection (Sobel, Prewitt, Roberts, Canny, LoG) — MCQs | Digital Image Processing

  15. Fourier Transform (DFT, FFT) — MCQs | Digital Image Processing

  16. Frequency Domain Filtering — MCQs | Digital Image Processing

  17. Low-pass & High-pass Filters — MCQs | Digital Image Processing

  18. Homomorphic Filtering — MCQs | Digital Image Processing

  19. Noise Models (Gaussian, Salt & Pepper, Speckle) — MCQs | Digital Image Processing

  20. Adaptive Filtering — MCQs | Digital Image Processing

  21. Inverse & Wiener Filtering — MCQs | Digital Image Processing

  22. Pseudo-color & True-color Processing — MCQs | Digital Image Processing

  23. Color Space Conversion (RGB ↔ HSV, HSI, YCbCr) — MCQs | Digital Image Processing

  24. Color Image Enhancement — MCQs | Digital Image Processing

  25. Image Segmentation (Thresholding, Otsu, K-means, Region Growing) — MCQs | Digital Image Processing

  26. Edge-based Segmentation — MCQs | Digital Image Processing

  27. Region Splitting and Merging — MCQs | Digital Image Processing

  28. Watershed Algorithm — MCQs | Digital Image Processing

  29. Morphological Operations (Erosion, Dilation, Opening, Closing) — MCQs | Digital Image Processing

  30. Boundary Extraction — MCQs | Digital Image Processing

  31. Skeletonization — MCQs | Digital Image Processing

  32. Connected Components Labeling — MCQs | Digital Image Processing

  33. Texture Analysis (GLCM, LBP, Gabor Filters) — MCQs | Digital Image Processing

  34. Shape Descriptors (Perimeter, Area, Compactness, Eccentricity) — MCQs | Digital Image Processing

  35. Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

  36. Principal Component Analysis (PCA) — MCQs | Digital Image Processing

  37. Linear Discriminant Analysis (LDA) — MCQs | Digital Image Processing

  38. Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

  39. Image Registration — MCQs | Digital Image Processing

  40. Image Stitching — MCQs | Digital Image Processing

  41. Motion Detection & Optical Flow — MCQs | Digital Image Processing

  42. Background Subtraction — MCQs | Digital Image Processing

  43. Object Detection & Tracking — MCQs | Digital Image Processing

  44. Template Matching — MCQs | Digital Image Processing

  45. Pattern Recognition (KNN, SVM, ANN) — MCQs | Digital Image Processing

  46. Image Classification — MCQs | Digital Image Processing

  47. Image Clustering — MCQs | Digital Image Processing

  48. Image Compression (RLE, Huffman, LZW, JPEG, JPEG2000) — MCQs | Digital Image Processing

  49. Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

  50. Image Fusion (Pixel, Feature, Decision Level) — MCQs | Digital Image Processing

  51. Image Watermarking — MCQs | Digital Image Processing

  52. Steganography — MCQs | Digital Image Processing

  53. Face Detection & Recognition — MCQs | Digital Image Processing

  54. Gesture Recognition — MCQs | Digital Image Processing

  55. 3D Image Processing — MCQs | Digital Image Processing

  56. Stereo Vision & Depth Estimation — MCQs | Digital Image Processing

  57. Medical Image Analysis (CT, MRI, Ultrasound) — MCQs | Digital Image Processing

  58. Remote Sensing Image Processing — MCQs | Digital Image Processing

  59. Satellite Image Enhancement — MCQs | Digital Image Processing

  60. Deep Learning for Image Processing (CNN, GANs, Autoencoders) — MCQs | Digital Image Processing

  61. Image Captioning — MCQs | Digital Image Processing

  62. Semantic & Instance Segmentation (Mask R-CNN, U-Net) — MCQs | Digital Image Processing

  63. Super Resolution (SRCNN, ESRGAN) — MCQs | Digital Image Processing

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

  66. Real-Time Image Processing — MCQs | Digital Image Processing

  67. Augmented Reality (AR) & Virtual Reality (VR) — MCQs | Digital Image Processing

  68. DIP using MATLAB/OpenCV/Python — MCQs | Digital Image Processing

  69. DIP in IoT & Embedded Systems — MCQs | Digital Image Processing

  70. Ethics & Privacy in Image Processing — MCQs | Digital Image Processing

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