Barola Technologies : Head Office  #27/11, Soundarajan Street T.Nagar, Chennai: 600017,TN  Ph 044-43558646 | 044-48647474  info@barolatechnologies.com

Technology Specific R&D , Training & Internship

Artificial Intelligence | Drone | Deep Learning | Internet of Things (IoT) | Machine Learning | Wearable Technology

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LIVE OBJECT DETECTION USING DEEP LEARNING

About workshop

We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to per-form detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detection pipeline is a single network, it can be optimized end-to-end directly on detection performance.


Objective

Object Detection is the process of finding and recognizing real-world object instances.


Technology and Tools:

Ai | Image Processing | Machine Learning | Deep Learning | Python | OpenCv | Raspberry Pi | Vnc Viewer | L298 Motor Driver | USB Camera



Image for rep purpose.


Workshop Content

SOFTWARE INSTALLATION:

OPEN CV | NUMPY | PYTHON|INSTALL SOFTWARE USED PIP COMMAND PROMPT | OPEN CV IMAGE PROCESSING | BGR TO GRAY | BGR TO HSV | LOWER & UPPER RED COLOR IMAGE MASK |INTERFACE WITH USB CAMERA


DEEP LEARNING BASED OBJECT DETECTION USING YOLO ALGORITHM:

GRID INPUT |BOUNDING BOX | CONFIDENCE


TRAFFIC DENSITY IDENDIFY USING DEEP LEARNING:

DETECT TRAFFIC DENSITY | COUNT VEHICLE USING DEEP LEARNING | DISPLAY THE VEHICLE COUNT


TEXT TO SPEECH USING PYTHON PYTTSX3:

PIP INSTALL PYTTSX3 | PIP INSTALL PYPIWIN32 FILE | TEXT TO SPEECH USING


REAL TIME OBJECT DETECTION USING DEEP LEARNING:

PIP INSTAL IMUTILS | RUN CAFÉ MODEL | DETECT OBJECT USING NEURAL NETWORK | OBJECT NAME PLAYING AUDIO OUTPUT


BENEFITS:

The functional use case attempted in this workshop involved the detection of vehicles and pedestrians from a drone or aerial vehicle. The training data was more skewed towards cars as opposed to other objects of interest since it was hand crafted from videos. The use case could be further expanded for video surveillance and tracking.


Workshop date will be updated soon!

Want to conduct this workshop at your institution? Please call our workshop support team on 044-43558646 for more details.

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