These are some of the case studies that were achieved by Canspirit team.
Canspirit leveraged its Machine learning and Artificial Intelligence skills to build a number plate extraction model to draw textual data from images. This Model has special functionalities to Detect the number plate and to store the data in text format.
Canspirit leveraged its Machine learning and Artificial Intelligence skills to build a car parking detection model. This model has extensive functionalities to Identify and count the number of cars that came in and out.
Canspirit leveraged its Machine learning and Artificial Intelligence skills to build a car parking space detection model. This model has extensive functionalities to Identify the Empty spaces and allot it to the required User.
As a trusted advisor and reliable service provider, Canspirit offers smart, energy-efficient, safe and secure IOT products to their clients. With our people, our technical expertise and our subsequent experience, it’s our passion helping us to deliever quality products to these corporate sectors.
Canspirit aims at providing solutions to enhance quality control, predictive maintaenance and safety of workers for manufacturing sector.
From patients to providers, local AI and IOT can help reduce healthcare costs by enabling more accurate diagnoses, preventing accidents and improving compliance thereby aiming at patient's care.
We have novel approaches onto smart traffic-management system, occupancy detection and real-time pedistrian activity monitoring system.
Company provides high performance, predictive analysis for agricultural challenges that effectively helps in improving soli quality, plant monitoring system, temperature maintaenance amd plant disease identification.
Modernizing models and record them real-time with smart authenticated cameras. Our team has delievered quality projects to inculcate covid-19 guidelines in a smart way.
Automating IT and data center asset tracking has never been easier. With Canspirit, there’s no need to labor through manual inventory counts every six months, or worry about the level of human error through manual handling.
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