Computer Vision SolutionsSolutions for the Computer Vision fieldThe importance of big data utilization is talked about frequently. It is said that extracting the meaning that is hidden in large amounts of data can be used in a variety of ways, for example, to narrow down the next purchasing behavior of a customer, or what leads to guidance programs in the event of a disaster. In the same vein in which large data stores as well as data originating from SNS sites large review sites is currently being utilized, the needs to extract ans use meaningful information from video are also arising. The installation of surveillance camera systems continue everywhere, howerver, there are customer who wish not to stop at at surveillance, but go beyond the simple storage and use video in more effective ways. Hence, more and more requests for imaginative uses of temporary camera installation requests are being rised. In our company is ready to assist System Integrators - who coordinate entire customer systems, in various ways regarding the video processing (Computer Vision), and embedded systems fields. Thinktube Positioning Computer Vision Field
Embedded Systems Field
There are several challenges for the camera system and video processing systems, as the processing results are greatly affected by the camera installation location and angle, sunlight and lighting conditions. Also tuning at each site becomes necessary. For the success of a project, it is necessary that customers understand the challenges and considerer how to proceed with the system operation and tuning. We believe that for the deployment of the system at multiple sites with various different conditions, it is important to foster "video specialist" integrators. We are open to implementing a skills transfer program to face such scenarios. The Role of Thinktube We present next some examples of solutions developed so far. Example 1: Parking Area Surveillance Example 2: Traffic Counting
Example 3: Food Factory - Unsafe Behavior Detection
Example 4: Distributed Image Processing on Embedded Devices Example 5: Image Processing at Event Hall Installed multiple cameras in a overhead position at the event hall, the video is transmitted wirelessly, we have a process to capture the dwell time of people in the hall area.
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