Facial Recognition: The Future Lies in Technology’s Education
Facial Recognition became the new-age ‘normal’ ever since mobile phones introduced the feature of face unlock. The technology is expected to spearhead the security aspect of multiple industries like ATM’s, bank account access, online wallet deductions, and many more. While your mind thinks about a hundred ways of integrating facial recognition in daily life, there’s one question that remains unanswered: How do we achieve this?
Facial Recognition identifies an individual by cross referencing the identification points and measurements of a real-time face with the one present in its database. Though it sounds simple, the underlying technical idea is to make the machine interpret and recognize an image to give the desirable output. In other words, Machine Learning can be termed as one of its prime aspects along with selective participation of deep learning and artificial intelligence.
As these fancy terms become a routine subject of conversation, more people are required to dwell into the depth of these subjects. Educational institutions can introduce training courses in languages like Python and C++. Though the former is known for its fast-paced execution, the library database of latter like Tensor Flow or Open Face along with easy to understand syntax makes it the ideal language for beginners.
Multiple studies and people from facial recognition companies have emphasized on the importance, and absence, of skilled professionals that can contribute towards the hurdles of the technology. Some of these include issues like change of posture, amount of light on the face, aging of faces, etc. This directly points to the lack of proper education and approach.
Furthermore, the recent surge of facial recognition startups has invited investments from all across the globe. For instance, XRVision, a Singapore-based startup bagged an undisclosed amount of funding from Boundary Holding, a European investment fund with presence in Luxembourg and France, founded by Rajat Khare. Similarly, Xjera Labs, Cognitv Technologies, and other budding startups, which are backed by substantial funding, are looking for people who can contribute in improving the technology for general public.