Certified Startup
APES AI INDIA PRIVATE LIMITED
Sector:
IT/ITeS Healthcare
Business Model:
B2B Freemium SaaS B2B Freemium SaaS B2B Freemium
Industry:
Enterprise Infrastructure Enterprise Applications Healthcare IT
Technology:
AI / ML Internet of Things (IoT) Security & Surveillance Technology AI / ML Security & Surveillance Technology Web technologies AI / ML Internet of Things (IoT) Web technologies
About
Incorporation Date
Feb 17, 2021
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Malappuram
Registered Address
20/179, Kunnathodika, Vettam Bazar, Mampuram Malappuram Malappuram KL 676306 IN
Office State
Kerala
Office District
Ernakulam
Office Address
CITTIC TBI, Cochin University of Science And Technology (CUSAT), CUSAT Campus, Kalamassery, Kochi-22, Kerala 682022.
Team
Shamsudheen
Founder
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.
Sector:
IT/ITeS
Industry:
Enterprise Infrastructure
Business Models:
B2B Freemium SaaS
Technology:
AI / ML Internet of Things (IoT) Security & Surveillance Technology

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.
Sector:
IT/ITeS
Industry:
Enterprise Applications
Business Models:
B2B Freemium SaaS
Technology:
AI / ML Security & Surveillance Technology Web technologies

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.
Sector:
Healthcare
Industry:
Healthcare IT
Business Models:
B2B Freemium
Technology:
AI / ML Internet of Things (IoT) Web technologies

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. 

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