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About Our Product
The face image pre-processing is the first step of the proposed framework, which is important for reliable feature extraction.
Pattern Recognition
An important aspect of automatic Face Recognition is pattern recognition, which is complex due to the nonlinearity of human faces.
Neural Network
The neural network (NN) can be considered as a good solution to the face recognition problem.
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We improved traditional Botox points detection
Our product, which includes the software based on Artificial Intelligence and hardware, compatible with most of the existing equipment at aesthetic care Clinics, reduces costs and increases the accuracy of the Botox procedure. It also guarantees applicants’ satisfaction through accurate operation and gives them a great feeling by predicting the outcome of Botox injection. In summary, it encourages applicants to have more treatment and get their ideal look. The applicant can see the final operation result and decide about it with more freedom. The final product is reliable, and the outcomes of the operation are repeatable. The applicant is prone to far less risk of damage resulting from the procedure. Physicians benefit from the reduction of liability and boost in income by client acquisition and retention at a fraction of a cost.
What we Do
We Use AI to Improve Botox
In order to improve traditional Botox points detection, while giving people a more accurate picture of how they might look after going under the needle, we propose developing a 3D-scanning software that creates a topographical map of applicants’ faces.
Meet Our Team
Teamwork makes the dream work.

HESAMODDIN DERILI GHOJALAR
Assistant Professor of Applied Mathematics

MOHAMMAD KAZEM BORAZJANI
General Practitioner

ZAHRA MEHRNAZ KARIMI
Doctor, General Practitioner

MASOUD MEHRPOUR
Neurologist

PEGAH MORSALI
Medical Doctor
S-S: 9am – 4pm
Spark Centre Head Office
Suite 300, 2 Simcoe Street South, Oshawa, L1H 8C1, Canada