road lane warning systems, using concepts of computer vision with modules such as OpenCV library and deep learning -- 2
€250-750 EUR
Closed
Posted about 3 years ago
€250-750 EUR
Paid on delivery
Hello,
I’m building a road lane warning systems, using concepts of computer vision with modules such as OpenCV library and deep learning, a system that uses Machine learning to monitor lane markings and detect when a vehicle is moving out of its lane, a warning system (such as an audio, visual, vibration, or other alert) will notify the motorist of the unintended lane change so the motorist would be able to manoeuvre the vehicle back into its initial lane.
Steps done so far :
Research
Project Proposal
Data set selection and preparation
I have generated my own dataset (977 images)
Data pre-pre-processing
I have pre-processed my data (resizing all the images using OpenCV 184 x 184 size ).
Data Augmentation
This project initially had the original dataset in the ratio of 100:19 as positive to negative class ratio. To balance them appropriately and not generate heavily duplicated data, only 19% of the positive class images have been augmented with Snow cover, Rain cover, Cloud cover and Fog. While, all the augmentations have been applied to all the images in the negative class images. After augmentation all the images have been resized to 184 x 184 size images to keep the image matrix for the deep learning small enough without losing the resolution of the lane markings. After the process was done it resulted in the dataset ratio of 1:1.
Steps pending :
Model Development
This must include an introduction on the tools and infrastructure selected (cloud, Tensorflow etc.). This section should be a maximum of 1000 words plus visualizations and tables. This also must discuss the development of the model, from initial investigations to the final refined version
o Tool/infrastructure selection and rationale (could be multiple):
▪ Azure DSVM, AWS, WEKA
▪ Tensorflow, Scikit-learn, Tableau, PowerBI
o Model Development:
▪ ML algorithm selection
▪ ANN topology
▪ Selection criteria (10FCV, Loss, Accuracy, Sensitivity, Gridsearch)
Performance and Model Outcome
The results should present the results of the experiment/tool. The results should also include techniques used to validate the model/show that it would generalize. The selection of these techniques should also be detailed (with numerical values included). Usually, the findings should also be visualized and/or presented in a tabular manner. The performance should be briefly discussed here. This section should be a maximum of 1000 words plus visualizations and tables.
Because of the pressure, complexity, and lack of time I am finding it difficult to complete this project by myself.
Therefore, I am looking for assistance and willing to pay for it.
I look forward to hearing from you.
Hi, I saw that you need help with Machine Learning (ML), Neural Networks and Artificial Intelligence. I have 9 years of experience working on these frameworks. I believe I can help you with it. I would request you to have a look at my porfolio, customer feedbacks from my profile. If you find me worthy of doing your job. Please start the chat and lets discuss it. Regards
Awais
hello sir, i am highly interested in your project. i have gone through your requirements and i believe i can be a valuable asset for your project. i am an expert in machine learning, deep learning and computer vision in python. previously i have worked on various computer vision projects including lane line detection, lane line visualization. also I can add warning systems in the projects. if you want I can show you a demo also. i have more than 3 years of experience in this field. so, this is very familiar to me. i can assure you best quality work. hope to get in touch and work together.
Hi, i am having 3+ years of experience in applications development and software development, also done various projects related to machine learning and deep learning ( artificial intelligence ), Android development.
Happy to talk and discuss more in chat
-Worked for Big companies
-Transform ideas to working software
-skilled employees
-98% satisfaction ratio
Thanks
I am a co-founder of an artificial intelligent software startup that works on face recognition, speech recognition,pattern recognition and other AI stuff, I have worked on many algorithms and have applied for the patents in algorithms as well .I have done masters in computer engineering from iowa state university and have recently worked on lane detections in python so I can help you
Written research papers on this topic. Know related previous works and also the difficulties in such projects and how to overcome them. My research area is deep learning, computer vision and image processing. I am freelancing before my Ph.D. starts in oct 2021. You can count on me with this project. You can also contact me directly.