Analyse on board diagnostic and dashcam data to determine driver behaviour

Pro Statistics/Math/Algorithm/ Machine Learning/AI Expert! Hi client. Once saw a your project, it was very attracted my mind because I am very interested in your project and also, have rich experiences and high skills on these fields because I have been working in this fields for 8+ years. If given a chance, I am highly confident in my ability to deliver the highest quality. I am confident that my involvement in your project will bring it to a successful launch, on time and within budget. I look forward to hearing from you. Kind Regards

Ever since I coded my first neural network from scratch in 2004 to recognize Mayan hieroglyphics I have been fascinated. 15 years and hundreds of project later I'm CTO and co-founder of my own AI company, NickyTax. I still work on at least one machine learning project every day. You've got a fascinating project that can utilize state of the art computer vision research. I would also love the fact that this will make a real difference. This kind of research can lead to safer drivers and make the world safer for anyone on the road. My passion for this will keep me waking early and working late to make sure you get the best results possible for both phases. I would just like some more information about your data. How many samples have you got? Over how many variables? What specific things are being measured in your data? Is it mostly or only just the video data, or are there lots of other detectors or inputs? Really anything you could tell me about the data would help me with planning the project.

Hi there, I am a data scientist and Being an expert machine learning and artificial intelligence I can do this project for you. please leave a message on my chat so we can discuss the budget and deadline of the project. Also, have a look at my profile for my reviews and portfolios. Thanks Note: This is not an automated bid and i'm ready to discuss your project right now. .. .

Hi Do you labeled data for good and bad driving behavior for the same data distribution on which we can train our deep learning model? Let's discuss this in detail. I have been doing deep learning development since 2017. I have experienced several state of the art models like inception, vgg, resnet and densenet.

I am a big data professional with artificial intelligence expertise with certification in both. I have many years of experience in machine learning , deep learning, statistics, Big Data. l have worked on various CV tasks

How are you, sir. I have checked your post. And I just have known that you want a developer to work for your job - 'Analyse on board diagnostic and dashcam data to determine driver behaviour' I have much and in-depth experience and expertise in developing this kind of technology and job. Also I am familiar with similar jobs I have mastered skills such as Data Science, Machine Learning (ML) and so on. Please send your message to me, so we can discuss more over chat.

I am a professional Data Scientist with a vast amount of experience in insurance blackbox data analysis. I have previously created a model that analysed the speed of a driver from the data received using the black box fitted in the car. the model was used in a app which to help figure out an insurance group for the user prior to buying insurance. please feel free to contact me to discuss full details.

Hello I am Machine Learing Expert with Tensorflow, CNTK, FasterCNN. I read your job and understood. I can start this job now and work full time. I will wait your right choice. Thank you.

Hello, I am an Android and Data Science Expert. I have read your problem and I think the various estimates for your given Phase 1: analyse the speed, acceleration, etc that is provided every second from an OBD device, to determine whether a driver was driving erratically. This will involve inspecting data, cleaning data, analysing data with the help of various plots and charts :- 1200 AUD Phase 2: intersect the phase one data to determine, whether, eg. a driver was accelerating through a red light, or was stationary when hit by another vehicle. This will involve creation of a multiclass classification model to find if the driver was accelerating through a red light, or was stationary when hit by another vehicle. :- 1200 AUD