Tuesday, February 2, 2021

Automated Facial Recognition System of India and its Implications

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Vaishnavi Krishna Mohan

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Automated Facial Recognition System of India and its Implications

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Global Views 360

Publication Date

February 2, 2021

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CCTV in operation

CCTV in operation | Source: Rich Smith via Unsplash

On 28th of June 2019, the National Crime Records Bureau (NCRB) opened bids and invited Turnkey Solution providers to implement a centralized Automated Facial Recognition System, or AFRS, in India. As the name suggests, AFRS is a facial recognition system which was proposed by the Indian Ministry of Home Affairs, geared towards modernizing the police force and to identify and track criminals using Facial Recognition Technology, or FRT.

The aforementioned technology uses databases of photos collected from criminal records, CCTV cameras, newspapers and media, driver’s license and government identities to collect facial data of people. FRT then identifies the people and uses their biometrics to map facial features and geometry of the face. The software then creates a “facial signature” based on the information collected. A mathematical formula is associated with each facial signature and it is subsequently compared to a database of known faces.

This article explores the implications of implementing Automated Facial Recognition technology in India.

Facial recognition software has become widely popular in the past decade. Several countries have been trying to establish efficient Facial Recognition systems for tackling crime and assembling an efficient criminal tracking system. Although there are a few potential benefits of using the technology, those benefits seem to be insignificant when compared to the several concerns about privacy and safety of people that the technology poses.

Images of every person captured by CCTV cameras and other sources will be regarded as images of potential criminals and will be matched against the Crime and Criminal Tracking Networks and Systems database (CCTNS) by the FRT. This implies that all of us will be treated as potential criminals when we walk past a CCTV camera. As a consequence, the assumption of “innocent until proven guilty” will be turned on its head.

You wouldn’t be surprised to know that China has installed the largest centralized FRT system in the world. In China, data can be collected and analyzed from over 200 million CCTVs that the country owns. Additionally, there are 20 million specialized facial recognition cameras which continuously collect data for analysis. These systems are currently used by China to track and manipulate the behavior of ethnic Uyghur minorities in the camps set up in Xinjiang region. FRT was also used by China during democracy protests of Hong Kong to profile protestors to identify them. These steps raised concerns worldwide about putting an end to a person’s freedom of expression, right to privacy and basic dignity.

It is very likely that the same consequences will be faced by Indians if AFRS is established across the country.

There are several underlying concerns about implementing AFRS.

Firstly, this system has proven to be inefficient in several instances. In August 2018, Delhi police used a facial recognition system which was reported to have an accuracy rate of 2%. The FRT software used by the UK's Metropolitan Police returned more than a staggering 98% of false positives. Another instance was when American Civil Liberties Union (ACLU) used Amazon’s face recognition software known as “Rekognition” to compare the images of the legislative members of American Congress with a database of criminal mugshots. To Amazon’s embarrassment, the results included 28 incorrect matches.. Another significant evidence of inefficiency was the outcome of an experiment performed by McAfee.  Here is what they did. The researchers used an algorithm known as CycleGAN which is used for image translation. CycleGAN is a software expert at morphing photographs. One can use the software to change horses into zebras and paintings into photographs. McAfee used the software to misdirect the Facial recognition algorithm. The team used 1500 photos of two members and fed them into CycleGAN which morphed them into one another and kept feeding the resulting images into different facial recognition algorithms to check who it recognized. After generating hundreds of such images, CycleGAN eventually generated a fake image which looked like person ‘A’ to the naked eye but managed to trick the FRT into thinking that it was person ‘B’. Owing to the dissatisfactory results, researchers expressed their concern about the inefficiency of FRTs. In fact mere eye-makeup can fool the FRT into allowing a person on a no-flight list to board the flight. This trend of inefficiency in the technology was noticed worldwide.

Secondly, facial recognition systems use machine learning technology. It is concerning and uncomfortable to note that FRT has often reflected the biases deployed in the society. Consequently, leading to several facial mismatches. A study by MIT shows that FRT routinely misidentifies people of color, women and young people. While the error rate was 8.1% for men, it was 20.6% for women. The error for women of color was 34%. The error values in the “supervised study” in a laboratory setting for a sample population is itself simply unacceptable. In the abovementioned American Civil Liberties Union study, the false matches were disproportionately African American and people of color. In India, 55% of prisoners undertrial are either Dalits, Adivasis, or Muslims although the combined population of all three just amounts to 39% of the total population (2011 census). If AFRS is trained on these records, it would definitely deploy the same socially held prejudices against the minority communities. Therefore, displaying inaccurate matches. The tender issued by the Ministry of Home Affairs had no indication of eliminating these biases nor did it have any mention of human-verifiable results. Using a system embedded with societal bias to replace biased human judgement defeats claims of technological neutrality. Deploying FRT systems in law enforcement will be ineffective at best and disastrous at worst.

Thirdly, the concerns of invasion of privacy and mass surveillance hasn’t been addressed satisfactorily. Facial Recognition makes data protection almost impossible as publicly available information is collected but they are analyzed to a point of intimacy. India does not have a well established data protection law given that “Personal data Protection Bill” is yet to be enforced. Implementing AFRS in the absence of a safeguard is a potential threat to our personal data. Moreover, police and other law enforcement agencies will have a great degree of discretion over our data which can lead to a mission creep. To add on to the list of privacy concerns, the bidder of AFRS will be largely responsible for maintaining confidentiality and integrity of data which will be stored apart from the established ISO standard. Additionally, the tender has no preference to “Make in India'' and shows absolutely no objections to foreign bidders and even to those having their headquarters in China, the hub of data breach .The is no governing system or legal limitations and restrictions to the technology. There is no legal standard set to ensure proportional use and protection to those who non-consensually interact with the system. Furthermore, the tender does not mention the definition of a “criminal”. Is a person considered a criminal when a charge sheet is filed against them? Or is it when the person is arrested? Or is it an individual convicted by the Court? Or is it any person who is a suspect? Since the word “criminal” isn’t definitely defined in the tender, the law enforcement agencies will ultimately be able to track a larger number of people than required.

The notion that AFRS will lead to greater efficacy must be critically questioned. San Francisco imposed a total ban on police use of facial recognition in May, 2019. Police departments in London are pressurized to put a stop to the use of FRT after several instances of discrimination and inefficiency. It would do well to India to learn from the mistakes of other countries rather than committing the same.

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July 19, 2021 11:59 AM

3D Printing: The direction to go for the Indian Defense and Aerospace Industries

3D printing is the next big game-changer on the technological front, almost a revolution if you will. 3D printing, also known as additive manufacturing, is a process of creating three-dimensional objects by layering two-dimensional cross sections on top of one another. The two-dimensional cross sections are computer-designed and rendered, which makes it all the more advanced. From Aerospace to Defense and Medical to Automotive, products manufactured via 3D printing are spreading their reach in the markets quite swiftly. This article will take a look at how 3D printing is beneficial and how the technology can transform the Indian and Defense and Aerospace sectors once utilized to its full potential.

Additive manufacturing has the power to unlock a wide range of opportunities. It uses a 3D printer to create a layer-by-layer “addition” of material which is digitally constructed. Different types of materials which are currently being used for the same are metals, ceramics, special plastics, synthetic resins, and etc. 3D printing not only reduces the cost of production of various components but also gives the power to manufacture locally with design flexibility. The technology significantly speeds the process of designing; this is mainly because there is no requirement of tools. Traditional manufacturing usually takes months to either acquire necessary tools and further produce parts and components or import components from various places. However, once 3D printers are acquired, which they might be costly in themselves, they would ensure a smoother production process. Hence, due to the combination of localized manufacturing and no tools, tailor-made designs can be produced to match the necessities of various industries.  

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Figure 2: A typical 3D printer. Source: Bre Pettis via Flickr

India is gradually growing with respect to its utilization of 3D printing technology. In 2014, the 3D printers market was at an early stage with just 200-500 combined workforce of engineers, designers and sales representatives. Currently, start-ups are springing up in places like Bangalore, Chennai, Mumbai, Visakhapatnam, etc and they are producing essential parts for sectors like the Indian Navy, Air Force, ISRO and the HAL.  India’s 3D printing market is projected to reach $79 million by the end of 2021, while the global market is at around $15.8 billion, which suggests that India has a lot of catching up to do.

Applications in the Aerospace and Defense Industry

The Aerospace and Defense Industries are keen to pursue additive manufacturing, mainly because of benefits such as weight reduction, cost cutting and to meet their highly specific requirements. The additive process uses less material to manufacture components and also ensures minimal waste of material. Overall reduced weightage means that less fuel would be used in aircrafts and hence result in better environmental compatibility. Let’s examine a few instances in India where 3D printing startups have assisted and provided the defense and aerospace sectors with unique solutions.

Recently, in 2020, the Centre-run defense company Hindustan Aeronautics Limited (HAL) had signed a MoU (Memorandum of Understanding) with Wipro 3D, the metal additive manufacturing branch of Wipro Infrastructure Engineering. The initiative would primarily focus on the design, development, testing, manufacturing, and repairing of aerospace components using metal additive technology. HAL is using 3D printing to manufacture engine components, although it also provides support to helicopter and rotary wing products. HAL also provides products to the Indian Army, Air Force, Navy, and Coast Guard. Speaking about this collaboration, Shekhar Shrivastava, CEO of the Bangalore division of HAL, said, “This initiative between HAL and Wipro 3D will create a unique synergy of capabilities that can accelerate the adoption of metal additive manufacturing in aerospace in India. Qualification of parts for aerospace is challenging as it would require prove out and extensive testing followed by certification by regulatory authorities which may also include flight testing."

Down south, Karnataka, which produces more than 65 percent of India’s aerospace-related components and exports, has taken a number of initiatives to promote additive manufacturing by setting up 3D printing clusters and sponsoring 3D printing startups. For example, through its flagship programme ‘Start Up Karnataka’, the State has given grants to ‘Deltasys E-Forming’, a Belgaum based start-up, to develop hybrid composite 3D printers. These initiatives are quite appropriate since two-thirds of India’s aircraft and helicopter manufacturing for the defense takes place in Karnataka, and 3D printing would revolutionize these processes quite rapidly.

On the other coast, Chennai-based 3D printing startup, Fabheads Automation, was established in 2015 by an ISRO engineer turned entrepreneur Dhinesh Kanagaraj. The deep tech startup designs and develops high-end carbon fibre helicopter blades for the Indian Air Force. Traditionally, carbon fibre parts are fabricated by laborious manual processes with a lot of fabrication time and money spent. Dhinesh also observed a lot of material wastage when he worked on carbon fibres at ISRO.  Based on this, Fabheads has designed an automated 3D printer series to eliminate material waste and also improve efficiency of production of carbon fibre. Sectors like the DRDO are currently approaching the company given these innovative methods of production.

3D Printing Saves the Day for the Indian Navy

Further, the Indian Navy has partnered with ‘think3D’, a Hyderabad-based 3D printing start-up, to produce spare components via additive manufacturing for both on and off-shore set-ups. The Indian Navy uses a lot of machinery on its ships which are imported from other countries and are quite old.  Whenever a component gets damaged, it is hard to replace it either because there is no availability of the part or because there is significant delay before a part is received. This often proved to be costly for the Navy since the machines would have to be kept idle before a spare part was replaced along with the fact that procurement of the parts was no less expensive.

This is where think3D had stepped in and supplied 3D printed parts to the Indian Navy, which were successfully tested and incorporated into its machinery. An example of such a 3D printed part, which proved to be of crucial help, is that of a centrifugal pump impeller- a key component for a ship’s operation.

https://3dprintingindustry.com/wp-content/uploads/2020/04/4.jpg
Figure 3: An original impeller (left) vs. a 3D printed impeller (right). Image source: think3D

The impeller is a rotating component and it is very important for a ship as it transfers energy from the motor to a fluid that needs to be pumped by accelerating the fluid outwards from the centre of rotation.  On ships, this component is used to import seawater into various parts of the ship for regular use of the crew. These impellers are required to rotate at high speeds for long durations and need to be very carefully designed. 3D printing was the best solution to replace these parts, given the speed of production and lower expenses.

Given all the benefits of 3D printing, it is high time for the Indian market to expand its 3D printing industry and utilize it to its full potential. There are many other instances like the one of the impeller in the Aerospace and Defense industries which can easily be solved using 3D printing.

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