Case studies

Pro Vision Lab - Case studies - Photo #5

We are happy to demonstrate working objects recognition in action:

Upon request of an innovative aero-vision company, Provision Lab developed a vision application that tracks and identifies objects in real-time video. Our technical team faced a challenge to build a lightweight but powerful application that can count the number of cattle and sheeps on the basis of the video attained from the drone. There were options both for video which is recorded on MicroSD/SD card as well as through real-time video streaming. We managed to quickly cope with this technical challenge using an objects detection algorithm, also applying KSF tracker and neural network training.
Technologies: c ++ / cafee / Qt

Pro Vision Lab - Case studies - Photo #5

We are happy to demonstrate working objects recognition in action:

A next generation Internet gaming/gambling company asked our team to develop for them an innovation vision application that can track and identify objects in real time. Our task was to create an application that detects and recognizes cards in the casino on the basis of the video attained in streaming video from the securities cameras. This technical challenge was resolved by the automated object detection algorithm, also applying convolutional neural network training.
Technologies: c ++ / cafee / Qt

Pro Vision Lab - Case studies - Photo #5

We are happy to demonstrate working traker/detection recognition in action:

An early stage movie startup company addressed Provision Lab with request to developed a vision application that tracks objects in real-time video. Our developers successfully coped with a task to build an app for AF Filming equipment on a basis of video attained from camera. In addition to autofocus issue, this technical problem was resolved with an Object retention after passing through barriers and face recognition. Provision Lab successfully coped with this task by using detection of objects and applying KSF + Yolo tracker and neural network training.
Technologies: с ++ / cafee / Qt / ksf / yolo

Pro Vision Lab - Case studies - Photo #5

We are happy to demonstrate working face recognition in action:

A very promising security systems startup contacted Provision Lab to develop for them a vision application that recognizes and tracks objects in real-time while the live video stream is being broadcast from a device or camera. Our technical team had to build an application for human object and human motion recognition on the basis of video received from the camera in real-time. This technical problem was solved using detection of objects and applying opencv tracker and neural network training.
Technologies: с++/cafee/opencv/Qt