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<h3>ABOUT</h3>
<p>分割线</p>
<p>Self-driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, recognizing traffic lights,
<br>signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to availability of Graphical Processing Units (GPU) and cloud platform.
In this paper,
<br> we propose a deep neural netw reliable detection and recognition of traffic lights using transfer learning. The method incorporates use of faster region based convolutional network (R-CNN) Inception V2 model in TensorFlow for transfer
learning.</p>
<h3>A WORD <br> ABOUT US</h3>
<p>The model was trained on dataset containing different images of traffic signals in accordance with Indian Traffic Signals which are distinguished in five types of classes. The model accomplishes its objective by detecting the traffic light with
its correct class type</p>
<br>EXPLORE <br> <img src="images/bb3.jpg" alt="">
<p>70000</p>
<p>分割线 <br>Students</p>
<p>600</p>
分割线 <br>Faculty <br>
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<h3>Library</h3>
<p>The combination of traffic signals and road signs determine a visual language that forms set of rules whose interpretation aids for disciplined driving. In the field of autonomous driving the perception of traffic discipline has high industrial
potential. </p>
<p>The vision system helps to analyze current traffic situation on the road, danger and difficulties near the vehicle, warn and help them for safe, convenient and healthier navigation by providing the useful information. object detection function.</p>
EXPORE <br> <img src="images/b2.jpg" alt="">
<h3>Library</h3>
<p>The combination of traffic signals and road signs determine a visual language that forms set of rules whose interpretation aids for disciplined driving. In the field of autonomous driving the perception of traffic discipline has high industrial
potential. </p>
<p>The vision system helps to analyze current traffic situation on the road, danger and difficulties near the vehicle, warn and help them for safe, convenient and healthier navigation by providing the useful information. object detection function.</p>
EXPORE <br>
<h3>Library</h3>
<p>The combination of traffic signals and road signs determine a visual language that forms set of rules whose interpretation aids for disciplined driving. In the field of autonomous driving the perception of traffic discipline has high industrial
potential. </p>
<p>The vision system helps to analyze current traffic situation on the road, danger and difficulties near the vehicle, warn and help them for safe, convenient and healthier navigation by providing the useful information. object detection function.</p>
EXPORE <br>
<img src="images/b3.jpg" alt="">
<h3>Library</h3>
<p>The combination of traffic signals and road signs determine a visual language that forms set of rules whose interpretation aids for disciplined driving. In the field of autonomous driving the perception of traffic discipline has high industrial
potential. </p>
<p>The vision system helps to analyze current traffic situation on the road, danger and difficulties near the vehicle, warn and help them for safe, convenient and healthier navigation by providing the useful information. object detection function.</p>
EXPORE <br>
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<h3>GALLERY</h3>
<p>分割线</p>
<p>The vision system helps to analyze current traffic situation on the road, danger and difficulties near the vehicle, warn and help them for safe, convenient and healthier navigation by providing the useful information. object detection function.</p>
EXPORE</p> <img src="images/03-01.jpg" alt="">
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<div> Kids Room</div><br>
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