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Integrated Applications for Edge-Based Video Surveillance

Video surveillance technology has become a fundamental tool for safety and security, such as traffic monitoring, indoor monitoring, and crime & violence tracking. However, with the rapid increase in the usage of these systems increases dramatically the amount of video data. In turn this overload the hardware resources and the network to store and transfer this data. In unfortunate events, it is not feasible to analyze all the cameras’ footage to extract meaningful information in reasonable time. Here raise the needs to have automated video processing and analysis in real time and to be carried out at the side of the cameras.

Running Projects

These are the projects we are currently working on with our partners NHANC, Augmania, Trend Solutions. We use our knowledge and most recent researches to develop a project that is practically efficient and could be used in the market having the maximum quality. Quality is not achieved unless time is spend researching and expanding our knowledge scope to offer you the best is there.

Vguard

AI-based integrated solution for video surveillance in smart cities. Using LSTM, Tensorflow and Yolov4Tiny, the input of the experiments should be a video of the abnormal action and the output would be a model to detect and create a bounding box over the abnormal action. We also offer parking spot detection using videos as input. 

Augmania Convertor

AI-based integrated solution for video surveillance in smart cities. Using LSTM, Tensorflow and Yolov4Tiny, the input of the experiments should be a video of the abnormal action and the output would be a model to detect and create a bounding box over the abnormal action. We also offer parking spot detection using videos as input. 

PalmAcou

   An early detection of Larvae using an acoustic device based on AI and IoT could avoid such repercussions of Red Palm Weevil infestation. The consequences of the infestation could be extensive damage to palm tissues and weakening the structure of the palm trunk. However, the earlier the detection, uprooting and burning infected Palm Trees could be avoided.

Completed Projects

These are the projects we are currently working on with our partners NHANC, Augmania, Trend Solutions. We use our knowledge and most recent researches to develop a project that is practically efficient and could be used in the market having the maximum quality. Quality is not achieved unless time is spend researching and expanding our knowledge scope to offer you the best is there.

EVU

AI-based integrated solution for video surveillance in smart cities. Using LSTM, Tensorflow and Yolov4Tiny, the input of the experiments should be a video of the abnormal action and the output would be a model to detect and create a bounding box over the abnormal action. We also offer parking spot detection using videos as input. 

Augmania 1

AI-based integrated solution for video surveillance in smart cities. Using LSTM, Tensorflow and Yolov4Tiny, the input of the experiments should be a video of the abnormal action and the output would be a model to detect and create a bounding box over the abnormal action. We also offer parking spot detection using videos as input. 

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