We at TDB.ai provide end to end AI based solutions
or services in order to
automate the process in
certain industries. We have a team
of experts of
Data Scientists, AI analysts, Designers, Full-stack
developers and Software Architects. We provide
Solutions
from consulting to deployment of AI products.
“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.”
Klaus Schwab
We help in your business
It is beneficial for the companies to look at AI as a business capability rather than technology. Broadly speaking, AI can support three important business needs: automation of business processes, gaining business insights through data analysis, and engaging with customers & employees. Using AI Technology, businesses can gain the ability to save time, save money, entire visual monitoring, Avoiding Mistakes and Human error, and making faster business decisions.
From its inception, video analytics has been touted as a solution
to assist those providing
security to critical infrastructures with a powerful means for identifying and detecting
intruders, tracking people or objects, and producing an alarm on types of behavior. The benefits
of video analytics have begun to be realized in the healthcare environment.
Image processing is a method to perform some operations on
an image, in order to get an
enhanced
image or to extract some useful information from it. It is a type of signal processing in which
input is an image and output may be image or characteristics or features associated with that
image.
NLP(Natural Language Processing) applies algorithms to
extract and identify the natural
language
rules using the
unstructured language data, which gets converted into a
form that
machines
can understand.
Business Intelligence is one of the fastest growing software sectors and Queppelin will help your business make better decisions by providing expert-level business intelligence (BI) services.
Machine Learning is a Form of AI that Enables a System to Learn from Data. We provide extensive machine learning development services for deep learning, algorithms for data science, & AI packages for data analytics.
This is one of the finest solutions we have developed for a middle east based hospital. If the patient or person has fallen down on the ground or has been lying for more than 10 seconds, it will directly create an alert to respond to this issue. Also it can be used to detect the injuries or any suspicious event in many sites. We have used YOLOR to dtec the person and posenet to detect the poses and applying LSTM transformer to detect the event like fall/ lying down etc.
This is the project that we have done in which if the driver is driving a car and having any kind of fatigue, or smoking or drinking in a car. It will create an alert and the owner can take some action on the driver. This solution has been developed for a dubai based automobile company.
This is the solution we have implemented in an ABU DHABI based hospital in which any kind of smoke/fire is occurring in an area. It will detect and report it directly. We have used LSTM and Transformer with YOLOV4 to detect the fire at real time on RGB and Thermal RGB images with the segmentation layer of SOLOv2. The accuracy we have achieved is around 95% so far.
This is the live project that has been going on in an India based smart city for parking lot management in which we have to detect the car, truck, bike and its number plate at real time with the accuracy of 96% test videos. We have used YOLOv4 with TensorRT(use to optimise the frame rate i.e if you get 4FPS on yolov4 then using TensorRT you will get 40FPS) to detect the Licence Plate, Car, Truck, Motorcycle, etc and using our own text recognition model which is Bi-Directional LST with transformers to recognise the text at real time on GPU.
This is the solution that we have developed for a US based organization in which their major problem was the invoice reading by a human. Daily around 150000 invoices have been generated over there and hundreds of humans were assigned to do the manual data entry on their SAP Platform. We have built a solution in which one has to just upload the PDF from the system/database and select the fields they want to extract like Shipping address, billing address, Invoice number, Email address, Telephone Number, Billing and shipping date, etc and start reviewing. All the required details will be published on the database and then assigned to the separate SAP platform. In this, we have reduced manual monitoring. As in one minute, 1000 invoices have been processed.
