REAL-TIME OBJECT DETECTING USING
SPIKING CONVOLUTIONAL NEURAL NETWORK
In this research, a real-time object detection was planned to be processed using a Spiking Convolutional Neural Network (SCNN) with temporal coding into the AlexNet architecture with a novel adaptive chimp optimiser for real-time object detection. This novel Adaptive spiking AlexNet convolutional chimp optimiser is the spiked-based real-time object detection model that provides near-lossless information transmission in a shorter period of time for deep SCNN. The primary layer of this SCNN consists of dissimilar Gaussian filters to predict the contrast of the video frames from the real-time video datasets. Hereafter, it encodes the contrast strength over the latencies. The design of spikes in the convolutional model has support to find the complex features of the video frames. Also, it can take the output of previous layers as input data for the following layers. When the object has been detected simultaneously Convolutional neurons emit a spike, which is dependent on input weight. The translation invariance has helped to minimize the data size. Pooling Layer neurons broadcast the initial spike that has received from nearer previous layer neurons but it has selectively the same features. Finally, the object feature present in the video has been detected.
§ Initially, real-time videos are collected from the net sources and trained to the system
§ Hereafter a spiking convolutional neural network has been designed in the python framework
§ Then the videos are separated into the number of frames
§ The Gaussian filter in the neural network has eliminated the training error, after the pre-processing, the cleaned data was imported to the pooling layer
§ The features of the trained video was detected using the spike properties in the pooling layer
§ Finally, the key metrics are calculated to report the efficiency measure of the proposed model.
Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Plus
12 freelances font une offre moyenne de 53125 ₹ pour ce travail
*****computer vision and machine learning expert****** Hello Thank you for your job posting I am a computer vision and machine learning expert with full experiences in face recognitiion, alpr, object detection and reco Plus
Hello, Thanks for your job posting. I am skilled computer vision and ML engineer with enough ready made demo projects by me. Main skill : opencv, python, c++, c#, flask, android My main previous projects are : - OCR Plus
I have read project requirements. I am managing director of software company and I have team for development so we can complete it perfectly. I am from India GMT +5:30 and I am available from 8:00 AM to 11:00 PM. We Plus
Hi, We at Tecogno Solutions are a team of Passionate Data Science and Full Stack professionals having more than five years of combined experience in multiple areas including Backend, Frontend, Machine learning (ML), C Plus
Hi, Greetings for the day! We are a team of passionate Machine Learning Engineers based in Mumbai, India, who have developed and deployed complex AI solutions using Machine Learning and Computer Vision. Upon going t Plus
Hi, I have 6 years of programming experience in Python, and 4 in machine learning, both CV and NLP. Please, tell, which dataset will you use? What is your budget and deadlines?
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Hello Sir, I am from IIT Kharagpur(QS world Rank 250), pursuing a Specialization in Artificial Intelligence. i have done these kinds of project internship and have full confidence that I will be able to do this project Plus
Delighted to have this opportunity. We at Droid7 have 7+ years of exp. in CNN. Requirements for your project - SCNN based real time object detection - As per requirements given in project details Solution - Our tea Plus
i am very experienced in the field of computer vision and ai in past i am also do different type of project related to computer vision and and real time object detection using different technology like yolo,convlution Plus