Indian cyber Conglomerates uses facial recognition application tool
Technology is advancing at a speedy pace. However, with the advent of Artificial Intelligence various privacy challenges are emerging.
Biometrics and facial recognition is an Artificial Intelligence technology that makes use of fingerprint to draw facial features from an image or a video. Tech giants like Amazon, Facebook, Google, and Microsoft are functioning towards recuperating their facial detection software for superior precision. Dell and HP, too, are trying their proficiency in next-generation servers to facilitate faster and faultless facial- image sharing.
The Indian administration also started effectively using this technology to augment its law enforcement proficiencies. Reports suggest that they intend to fabricate a nationwide automatic facial recognition system (AFRS) to categorize culprits across the country. Here are 5 Indian startups that offer Quality facial recognition technology.
1. INNEFU LABS- Delhi-based Innefu Labs is an information Security R&D start-up, founded in 2010 by Tarun Wig and Abhishek Sharma. Innefu Labs has developed a niche in the indigenous Artificial Intelligence Products. The firm has won quite a few elite customers from Indian defence and CRPF for its multifactor authentication solutions.
Delhi Police too, using facial recognition as an important tool to enhance their functioning. Evolved by India-based INNEFU Labs, this tool uses Artificial Intelligence to sift through a massive data set to match individuals, thereby identifying them against their personal data. The technology detects and extricates faces from an image; each image is then transformed into 512 values. The software then evaluates the shortest distance between two vectors in a selected database. The closest correlatives are then gauged as the final result.
2. FaceX — The firm FaceX is a Bangalore-based start-up founded in 2018 by Safeer Usman. This three-year-old start-up has attained some real success in a short period of time. The conglomerate’s technology employs state — of — the — art tracking technology to detect people even under low illumination and diverse poses. The firm is also responsible to detects people at a far distance, even when the face is pixelated very badly to the human eye. Now, it detects faces with an exact rate of 94%. The company had worked with a staff of 100 developers that work with the application of facial recognition.
3. AIndra Labs — Bengaluru-based AIndra Labs is specialized in Processing images and videos captured from real-life scenarios using its visual Analytics platform. The company is founded by a trio i.e., Abhishek Mishra, Abdulla Hisham, and Rito Bhaumik in 2016.
The company has AI-powered facial recognition software to mark the attendance of the employees or students of the officialdom. The feature of the Face recognition system holds photographs and details on each student of a class in software. The teacher just needs to click some pictures of the classroom. The system digs into the server matches the faces on the photograph with the data beforehand store and hints who is present and absent.
4. Staqu — Gurugram based AI-focused conglomerate is founded by Atul Rai in 2015. The company consists of a technology stack of advanced image and video analysis tools, language and text-independent speaker identification engine, speech recognition, facial recognition, and text processing APIs.
The AI-based human efface detection (ABHED) provides a smart glass that has an integral camera specialized in taking real-time human features as input to provide a match for criminal records in seconds. The Violence detection product helps to examine CCTV footage to recognize and report violence in real-time. It also offers a facial recognition system that utilizes CCTV feeds to identify faces through live cameras.
5. ParallelDots- Paralleldots is an artificial intelligence provider company founded in 2014 by three partners i.e., Angam Parashar, Ankit Narayan Singh, and Muktabh Mayank. The company’s image recognition API finds the label(s) (names) of objects in the image along with their probability score. And its image detection can identify 6, 000 objects from an image.
The API by ParallelDots can be used to monitor emotions connected with visual content shared on social media or photo-sharing apps and build interactive video chat applications.
