Raspberry Pi colour detection

Hello, Greetings! With a proven track record of successful achievements, I am pleased to present my application for your consideration as a Freelancer. Please have a look at my profile and portfolio to get an idea about our capabilities and some previous work on freelancer. This bid is approx. I’ll give you exact budget and price once discussing in details with you. Many Thanks & Regards, Rishi A.

Expertise in Python and OpenCV. I have completed various projects related to this field and can provide you your complete task in decided time frame with quality work. We can discuss further details in the message box Regards

Hello, Hope you are doing well. I have over 5 years experience in Computer Vision. I have done most of my projects using OpenCV in python and C. Your project is more research oriented and I have worked on many research projects in the field of Image Processing and Machine Learning. 1. Melanoma (skin cancer) detection using OpenCV and Machine learning. 2. Detecting whether a person is under the influence of Drug using pupil tracking. 3. Printing Quality Detection for AlteriaLarsers for the printing they do on the products using OCR and Machine Learning on Raspberry Pi. 4. Converting the Menu written on the Board in the Digital form using Google Vision API in Python. 5. Splitting the overall timer of the traffic light according to the traffic density on either side of the road. etc. I am very passionate about computer vision and its applications. Looking Forward to working with you. Regards Sudhir Jain

Hello Sir, I am working on Raspberry Pi and Arduino based development more than 5 years. I am expert in Python, C, C++ based development languages. I can provide you quality work as per your requirement. I can deliver you project with in time line. I am looking for long term relationship. Looking forward to work with you.

We have worked in Python, Java, Php, django platform for web application and analytics. We are a team of experienced persons with enginners.

Colour detection can be done in various ways using python and opencv. Please let us know your processing time constraints as well as the image size tradeoff. Also mention the camera compatibility and other hardware details.

I can do it , can you explain more what it's a task?