How Innefu Lab’s product on Image and Video Analytics, AI–Vision find its application in banks and law enforcement

With the advent of more accurate sensors like high-resolution cameras, computers, and powerful software, the use of AI in image and video analytics is increasing in the areas like personal authentication or identification, customer experience, fraud prevention, monitoring, behavioral analysis, etc. The most popular application of this technology is the “face lock” feature on our smartphones which we use several times in our daily lives.

Before starting on how this technology is preventing fraud and helping in catching criminals, let’s first understand how this technology works. To recognize a face from an image, the first step is face detection. The image is transformed into greyscale because it is easy to detect faces in greyscale. Then the image is enhanced and manipulated by resizing, cropping, blurring, sharpening, etc. The algorithm then runs to detect various objects in the image and identify faces. Once the face is detected, a highly complex set of features are extracted like the length of jawline; spacing between eyes or eyes and lips; dimensions of the nose, lips, face; the ratio of widths, etc. These features are then matched with the ones stored in the database to identify the face.

Video analytics also works on the same principle. The video consists of capturing an event in various photographs continuously called frames. The frames when combined and played at a specific speed form a video. To analyze the video, these frames are treated as an independent image and the same sort of analysis can be done as image analytics, though video analytics finds application in areas like traffic management, event management, better surveillance, and security, etc.

Due to Covid–19, there is greater acceptance of touchless, efficient, fast, and secure authenticating technology. Face recognition fulfills all criteria. AI – Vision is one of the products of Innefu Labs’ which works on image and video analytics technology and finds its application around a wide spectrum of areas. Some of the real–world applications are mentioned below:

• With the change in technology, identity theft has become one of the most common frauds. The fraudster took the identity of another person to avail various products of banks to limit his/her accountability and induce financial damage on the person whose identity is assumed by the fraudster. They can procure fake identification documents and rely on traditional checks run to pass through the KYC process. The only thing which remains unchanged is his/her photograph. If the person’s identity is matched with the existing database, then the bank can know when the same person is applying for different products under different names as the bank will get an alert that the same person has another account with a different identity. Our product AI–Vision is used by leading private banks of India to prevent a similar type of fraud

• The product is also used by various law enforcement agencies to catch criminals and control crime. During the first four days of its implementation, Innefu’s product helped in identifying 3000 missing children. National Commission for Protection of Child Rights also advocated the use of this software to help trace missing children.
• Delhi police also used the same product to identify potential rioters in the 2020 North East Delhi riots. The product achievement found its mention in the parliamentary speech of Hon. Home Minister Mr. Amit Shah while discussing the Delhi riots.
• Recently, the Delhi police used the same software to catch a criminal who had several cases of theft, robbery, snatching, etc registered against him.

Besides these real-life applications, the product can be used in various other applications. Some of the applications are as follows:

• Banks can add a security layer in ATM transactions to prevent fraud like card skimming or unauthorized transaction (like a person stole the card and pin) by recognizing the person who is doing the transaction; in digital KYC etc.
• Airports can use the same technology for a faster boarding process reducing the need for manpower and time required in identifying the passenger
• Registering attendance in various places like classes, events
• Retail chains using the software to provide better customer experience from self-service kiosks thereby bringing more technology in retail and reducing human interventions
• Increased event security by screening and verifying guests