Image Processing Trainer ( XPO-IPT)

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The Image Processing Trainer is a compact, Linux-based educational platform designed to simplify hands-on learning in digital image processing. Powered by a quad-core Cortex-A72 processor, it comes with a built-in HDMI monitor, USB peripherals, and an extensive set of 22 real-time experiments. Covering key topics like image manipulation, object detection, face and fingerprint recognition, it offers a plug-and-play setup. Ideal for academic and technical training, the trainer ensures a seamless learning experience without complex installations.

Salient Features

Raspbian Linux PC is ergonomically designed & aesthetically mounted in a sturdy aluminum (30×30) profile rack with built in USB keyboard, USB mouse, HDMI monitor, USB CAM & SMPS power supply.
4 main topics of Image Processing covered under 22 Experiments.
Main topics covered are Image Manipulation, Object Detection, Face Recognition using USB CAM, Fingerprint Recognition using optical sensor.
User friendly student workbook & Instructor’s guide provided for step-by-step hands-on experimentation.
Using standalone Linux machine allows you to jump right in to solving examples of Image processing without having to worry about package managers, installation instructions, and compiling errors due to mismatch between OS version and libraries resulting into long installation times.

Technical Specifications

Controller Configuration: Linux PC -1 No.

PC Hardware: Quad core Cortex-A72 (ARM v8) 64-bit SoC @ 1.8GHz
4GB LPDDR4-3200 SDRAM 2.4 GHz and 5.0 GHz IEEE 802.11ac wireless, Bluetooth 5.0, BLE Gigabit Ethernet 2 USB 3.0 ports; 2 USB 2.0 ports.
Micro-SD card slot for loading operating system and Application Folders

PC Software: Preinstalled Raspbian OS, Tailored Python & Bash Scripts provided in Home directory for experiments.

Combo Application Board: CAB panel mounted with fingerprint sensor is connected to Linux PC using 26 pin FRC cable and patch lids.

List of experiment:

Image Inversion
Grayscale Conversion
Brightness Increase
Contrast Increase
Color channel intensity increase
Bit plane image
Image blending
Discrete Fourier transform
Histogram equalization
Sift feature extraction and matching
Image Matrix Neighbor Extraction
Edge Detection using canny Algorithm
Cropping of any downloaded image
Sharpness
Gaussian Blur
Gaussian Filter
Linear Filter
Median Filter
Detect objects in real time using USB webcam
Using self-image from USB camera and repeat expt.3.13
Face recognition using USB camera
Fingerprint recognition

Power supply: Built-in SMPS (5V/3A), AC Input- 100 to 250V AC/ 50-60Hz

General: Operating Temp- 0 to 50ºC, Power-100-250VAC/50-60Hz, Dimension/Wt- 910mm (L) x 530mm (W) x 300mm (D) /Net Wt.15 Kg. Gross Wt.= 20kg

Accessories: HDMI monitor 1No, USB Keyboard 1No, USB Mouse 1 No, USB Webcam 1No, R307 Fingerprint sensor 1No, 3 socket AC power extender
1No, Patch Lids 5 Nos.

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