Team
Products 3
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CCTV-based Fire, Smoke, Safety helmet, and Vest detector and alert system
The Deep Learning Object detection system is trained with tens of thousands of images in categories such as fire (indoor and outdoor), smoke, safety helmet, and PPE Kits/Safety vests. The model can detect all these in real time when deployed as a desktop app.
The desktop app is connected the CCTV camera feed and it will detect smoke, fire, Safety vest worn or not, PPE/Safety vest has or not and give real time alert in the desktop.
CCTV-based Intelligent Traffic Survey Software
Software takes Traffic camera feed asthe input. And the most accurate vehicle detection AI model trained on more than 10000 imagesf different vehicles such as car, truck, bus, etc. The model is able to recognize,count different vehicles passing right,left sides,tabulate the count details in excel sheets everyday.
The hardware involved are HD bullet camera and computer to run the AI models.
The HD camera live feed of traffic vehicles will be connected the desktop app and the AI model in it will detect and count different vehicles passing through right and left of the road. It will tabulate the count into an excel sheet and save it in a local folder with the date as the file name.
Bagmo Blood bank inventory prediction and forecasting software The Desktop app is running ML-prediction model at the back-end. It is trained on IN-OUT data of blood components in the blood bank fromaround 10-years. So,from the insight learned from this historicdata,the model can accurately predict thedaily,weekly,and monthly requirement ofblood components inthe bloodbank and give alert.
The In out OUT data and details of each blood component units should be entered into the software. For each entry the model will make predictions and give alerts about requirements of coming days and weeks.