Divyansh Sahu

Divyansh Sahu

Bengaluru, Karnataka, India
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About

🌟 Experienced Java Fullstack Developer with a knack for crafting robust solutions in the…

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Activity

Experience

  • Pine Labs Graphic

    Pine Labs

  • -

  • -

    India

  • -

    India

  • -

    Pune, Maharashtra, India

  • -

    Indore, Madhya Pradesh, India

  • -

    Indore, Madhya Pradesh, India

  • -

Education

Volunteer Experience

Publications

  • Fungal Infection Detection in Seeds using Laser Speckle Analysis & CNN

    Unpublished

    • Study about the bio-speckle imaging technique & analysis of fungal infection in Seeds.
    • Designing a detection model for curable & non curable Seed using laser-induced light backscattering imaging and convolutional neural network.
    • An Alex-Net inspired model with an 11-layer structure is established and trained to Binary classify curable and no-curable fungal infected seeds.
    We analyze how well the model does with the recognition on the basis of Bio-Speckle Activity map.
    • The…

    • Study about the bio-speckle imaging technique & analysis of fungal infection in Seeds.
    • Designing a detection model for curable & non curable Seed using laser-induced light backscattering imaging and convolutional neural network.
    • An Alex-Net inspired model with an 11-layer structure is established and trained to Binary classify curable and no-curable fungal infected seeds.
    We analyze how well the model does with the recognition on the basis of Bio-Speckle Activity map.
    • The method based on laser bio-speckle imaging analysis and CNN theory provides an idea and theoretical basis for efficient & non-destructive detection of health of Seeds & their quality

Projects

  • Rail-Crack Detection And Alarming System

    - Present

    currently working in Deep learning rail crack detection system
    using regional convolution neural networks for crack and fault detection.
    trying to fully automate the process to reduce to cost

  • Industrial Realtime Quality Control System

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    • Make a real-time quality control system for fault detection in casting products(for Industrial use).
    • Real-time .jpg images are taken through QHMPL 5MP digital camera integrated with AMCap software for image saving.
    • Use a deep learning neural network based image processing System and classifying the product in OK or Defected categories.
    • This system use python based script for iterative timer based feeding of data in the model.
    • This system can be sync with…

    • Make a real-time quality control system for fault detection in casting products(for Industrial use).
    • Real-time .jpg images are taken through QHMPL 5MP digital camera integrated with AMCap software for image saving.
    • Use a deep learning neural network based image processing System and classifying the product in OK or Defected categories.
    • This system use python based script for iterative timer based feeding of data in the model.
    • This system can be sync with Industrial conveyor belt speed.

    See project

  • BLE-Beacon Based A Low Cost Local Positioning System(LPS)

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    Local Positioning System(LPS)(funded from ACIIE)

    • Beacons are small, wireless transmitters that use low-energy Bluetooth technology to send signals to other smart devices nearby.
    • Analyzing the signal strength from a beacon device (RSSI )and then determining the distance of the beacon, to get the correct location of the device
    • This system user Interface is building under Django framework of python, This Technology uses Bluetooth Signal for approximating the location.
    • this…

    Local Positioning System(LPS)(funded from ACIIE)

    • Beacons are small, wireless transmitters that use low-energy Bluetooth technology to send signals to other smart devices nearby.
    • Analyzing the signal strength from a beacon device (RSSI )and then determining the distance of the beacon, to get the correct location of the device
    • This system user Interface is building under Django framework of python, This Technology uses Bluetooth Signal for approximating the location.
    • this is done through using a IOT device named RaspberryPi. it was configured as BLE Beacon which emits Bluetooth signal.
    • Signal Detection model was written in android using BLE beacon libraries.
    • This system is Far more Cheaper and much more accurate and reliable than the Current System currently In-use(GPS).

    See project

  • A Health Detection Model for Citrus Fruit Using Convolutional Neural Network (CNN)

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    • A convolutional neural network Model is built to classify the fruits into healthy and defected class.
    • deep learning algorithm have been implemented to perform citrus disease detection.it is built using python 3.7 and keras.
    • This study aims to use the dense CNN algorithm to detect and provide an effective method for detecting the apparent defects of citrus fruit.
    • Citrus fruit images are collected and put in two classes of good and damaged ones, to recognize and…

    • A convolutional neural network Model is built to classify the fruits into healthy and defected class.
    • deep learning algorithm have been implemented to perform citrus disease detection.it is built using python 3.7 and keras.
    • This study aims to use the dense CNN algorithm to detect and provide an effective method for detecting the apparent defects of citrus fruit.
    • Citrus fruit images are collected and put in two classes of good and damaged ones, to recognize and categorize the image dataset.

    See project

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