Thomas Wood Computer vision and data science consultant www.fastdatascience.com
Past projects in computer vision ● Face recognition ● Pharma pill bottle detection ● Biometric security Fingerprint recognition ●
Face recognition ● Developed face recognition model https://veridiumid.com/vface/ ● Scraped training data of >10,000 celebrities from IMDB etc Evaluated model in NIST competitions ● ● Worked on deployment to Android/iOS ● Technology: TensorFlow on GPUs with Convolutional Neural Network (CNN) ● Started from GoogleNet architecture and adjusted parameters and added output layer ● Model can receive 2 faces and output probability that they are of the same individual.
Fingerprint recognition ● Worked on fingerprint recognition project at Veridium. ● Originally using Bozorth Fingerprint algorithm (developed by NIST) but moved on to neural networks. ● https://veridiumid.com/veridium-id
Pharmaceutical pill bottle ● Worked on prototype for US pharma giant CVS of neural network to detect presence and orientation of pill bottle. ● This is for an automatic repeat prescription application.
Patent on protection of biometric template ● Mather, JF, Othman, A, Streit, S, Dumitran, I & Wood, T (2017). System and method for biometric protocol standards. US patent 9838388. Patent of how biometric templates e.g. from face or fingerprint can be protected ● from attackers.
Other deep learning but non-CV projects ● Tesco: prediction of customer orders, currently deployed at www.tesco.co.uk CV-Library: classification of users by CV content. Deployed at ● www.cv-library.co.uk/register ● Boehringer Ingelheim (pharma): predicting cost of clinical trials from PDF documents including tables. NHS England, Higher Education England: predicting doctor attrition. ●
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