People counter using openCV on Raspberry pi

Hello, I am an expert in raspberry pi firmware programming and openCV programming with more than 6+ years of experience and I read your job posting very interestingly, and I am very excited to complete your project successfully. I have done smart switch system based on Raspberry pi 3 model B and openCV 3.3 that has various models for object detection such as MobileNet model, YOLO COCO, YOLO 9000, HOG model with SVM classification algorithm and so on. And I have rich experiences in signal processing such as fingerprint identification, ECG/EEG/EMG recognition and classification, Iris recognition, LPR detection, OCR and so on. ########################################## I have some questions for your project. Are you going to use Raspberry pi camera to detect human? Should I buy all components here or would you but them there? If you buy them there, I will guide you to install raspbian OS, how to execute firmware program and so on. Which model are you going to use ? I recommend you to use MobileNest model which has over 98% accuracy. ########################################## Looking forward to working with you Thank you. Best regards.

Hi, I'm an electronic engineer with more than 5 years of experience in embedded systems development. I'm proficient in raspberry pi and I've been using open CV for many of projects on raspberry pi. I've decided to apply for the project as I have previously worked in face detection algorithm, so I believe based on that, I can provide you a solution. Since you need a people counter, I think best way to come across is the use of a face detection algorithm. Only issue would be finding distinctive faces in a open environment. I'm open for discussing about the project and looking forward to hearing back from you. Thank you Anusha

Hello How are you? I read your description. I am OpenCV and Pi expert. I have a good experience of opencv project on pi. I wanna discuss more via chat. Thanks/

Hello, I am sharing a few ideas with you, we can discuss them further in the chat. The performance of the people counter system depends on the camera quality and position. I need to model the background, then it is easy to detect human bodies. Then I need to model the human motion to track them, so I can count the entering and leaving ones.

HI, I am kahan. I am embedded engineer and have much experienced in hardware and software side. Waiting for further discussion. Thank you.

Hi, I am an electronic engineer specializing in computer vision and deep learning. I have been working on similar projects, including people traffic counting, smart surveillance, video analytics, face recognition, person re-identification, object tracking, etc. Moreover I have worked with computer vision applications on small board computers such as raspberry pi, odroid, udoo, etc. I will be able to provide an elegant solution (using image processing or even deep learning and AI approaches). Moreover with my background and experience in electronics engineering as well as my expertise in computer vision and algorithms, I am sure I can complete this task successfully. Regards, Dilina.

If using OpenCV, you could use the machine learning method with Fast R-CNN algorithm for object segmentation. It is able detect objects within a frame of image under 1 secs. So, if your video has low frame rate, this method would be feasible. Otherwise use another algorithm called YOLO. This able to process for around 45 fps

Dear sir This s Kulandaiyesu ,I would like to do this work. please conduct me any time . Please me any time for free time. Yours sincerly Kulandaiyesu

Hello Sir I have read your requirements and i have recently made a project like this in which the requirements was to turn on/off lights on human detection using raspberry pi , cam and open cv. Provide your requirements to proceed further. Have a cheerful day ahead.

Hi, I am interested in your project and I would like to know more details. i have done person counter using opencv and python. Kindly drop a message so we can discuss. Good luck!