Technology is developing day by day and it is creating many transitions in the global economy. There are companies that are benefiting from certain technologies, and there are also those for whom the same technology is proving to be dangerous for other businesses. The crimes of identity thefts, cybercriminals, hacking the credentials of people and much more are surging. This has called the need for facial verification services through which identities can be verified properly. In the past, facial identification was a concept that was interlink with the fictional world. But now with the arrival of artificial intelligence, face recognition technology is swiftly becoming more of a reality than fiction.
The Automated Face Recognition is Surging in Every Sector
Every industry ranging from healthcare to gaming, law enforcement to e-commerce is getting benefits by the process of client face verification. The chances of human error are minimized by machine learning algorithms. It enhances authenticity along with improving the customer onboarding experience. It works on biometric software that captures the facial features of an individual mathematically through an image and verifies its true identity. This technology compares the images to ensure authenticity which makes it very similar to technologies like fingerprint, retina, and voice recognition services.
Basic Process of Face Recognition
The standard procedure of face verification solution works on three primary steps which are:
- Face Detection
It is an initial step in which the main task is to detect the face. A lot of times an individual might be standing in a crowd, so the facial recognition machine learning system should be soo advanced that it is able to easily detect and fetch the identity information from the face only.
- Analyzing
In the second step, the facial features are mapped out and analyzed one by one starting from the eyes, shape of the nose, size of the chin, jawline structure, and other points. The chance of glitches is quite less. After this, the data is combined and simply presented as a faceprint of an individual.
- Recognition
In this final step, the
facial verification results are generated. The photo or image of the is extract on the system and is match with information of facial features in the database.
Pros and Cons of Facial Verification Services
Face verification is indeed a powerful tool but how society utilizes this matters a lot. This AI-based technology like
document verification has a lot of advantages, which are used by many sectors to prevent frauds and data breaches. On the other hand, criminals find new ways to invade and destruct the company’s reputation which creates certain drawbacks associated with facial verification technology.
Pros of Facial Identification
- Better Security Concerns: With facial recognition systems, it lets the companies keep track of the employee’s attendance. The visitor’s attendance is also monitor and the trespassers are catch automatically allowing better security concerns to be establish in the firms.
- Quick and Cost-Effective: The need to wait and register before entering into the same building daily has been make easy with a face verification solution for the employees. Companies can cut costs by hiring full-fledged security staff. Less manual resources are use as data is mostly stor on the computerize database.
- Higher levels of accuracy: As the whole system is automate, the chance of errors is reduce as compare to the manual system in which human error could easily make ways as humans are prone to mistakes.
- High Success Rate: As time progresses, facial verification technology is becoming reliable. With the 3D face recognition technology and infrared cameras, the success rate has gone relatively high for identity verification.
Cons of Face Verification
- More Advanced System: In order to store a huge amount of client information, huge storage is require in the system. Advance systems can be expensive but there are essential in order for the face recognition process to run smoothly.
- Different Camera Angles: In order to detect a face properly. The camera needs to identify various camera angles through which all the require data could be store properly. Different accessories such as hats, scarfs, veils, or even hair can create problems for face detection.
- Reliability Issues: Someone who might have a resemblance to another individual can gain fake access into the place while creating reliability issues.
- Privacy Breach: When are the employees entering or exiting the building is monitor constantly which breaches. The privacy of some individuals that might make them feel uncomfortable.
Wrapping it Up
Facial Verification Services are a dire need for every
organization now with the prevalence of fraudsters and criminals. Detecting the face and easing the day-to-day operations is a benefit that can’t be overlook. For companies, it is making the process of customer onboarding manageable. From health sectors to law-enforcement agencies to applications, all of them are in compliance now with face recognition. The flaws of this technique will therefore be reduce with time by making it a compulsion for the companies to have it in the near future.
