AHMEDABAD- Prisma AI, a global company providing visual AI-based solutions, collaborated with Adani airports last year to establish the ‘Desk of Goodness,’ which aims to provide swift assistance to passengers in need by alerting their support staff through monitoring.
The AI for Humanitarian Goodness project at Adani airports deals with vast amounts of private data, where their camera captures information and sends it to a server for analysis.
Adani Airport Prima AI
Once the server detects something significant, it notifies a ground staff member via a tablet. However, the notification is not sent through the most preferred service provider.
In other words, Prisma AI has established an independent notification server at Adani to bypass Google’s control and ensure connectivity.
“90% of the world’s notifications on your phones go through Google servers only. Google has a monopoly on notifications. They [Adani] clearly said that they will not give internet access. So we have our own notification server, which we implemented for them over there, and those notifications are only going through their local Wi-Fi network.”
The ‘desk of goodness’ service is available across six airports, including Lucknow, Ahmedabad, Mangalore, and Trivandrum.
“The concept is to assist passengers. Whether it’s someone carrying a baby, walking with a crutch, or if someone falls, we aim to capture these situations and trigger help to our on-the-ground support staff, who would have a tablet to view the visuals and the location of the passenger,” said Amitabh Chowdhury, Executive Director and COO of Prisma AI, in an exclusive interaction with AIM.
Aside from airport services, Prisma has primarily serviced security, finance, infrastructure, and road assistance, including nameplate recognition. The company has developed its proprietary computer vision technology called ‘Gryphos.’
What is Gryphos?
Gryphos serves as the company’s core computer vision platform. It utilizes deep convolutional neural networks, enabling comprehensive analysis of videos, images, objects, and faces, thus promoting analytics and predictive capabilities. Prisma has over 100+ global deployments across five continents with over 21k cameras running Gryphos.
“Gryphos has various core engines and feature engines, and over the years, we have started building derivative products out of these core engines, such as ‘Veri5,” said Chowdhury. The product is a face authentication system in financial institutions and security solutions.
The accuracy of results via their platforms is set according to the sectors they cater to.
“For instance, in a banking transaction, I cannot afford to make a mistake where face recognition is required to proceed to the next step. So, I will set the cutoff at a higher percentage, say 75%. Whereas, if a police officer searches for a lost child, I set it at 30%. It doesn’t matter if they get five or 10 different lost children. I don’t want to miss out on that one truly lost case. So, the use case defines the data parameterization,” said Chowdhury.
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