Best Facial Recognition Software in India - Page 2

Paravision is a core Identity AI technology provider delivering top-tier accuracy, fairness, and performance. Its AI products, including face recognition, liveness detection, deepfake detection, and age estimation, powering identity workflows for enterprises and government agencies. Paravision consistently ranks among the top global performers in industry benchmarks, including NIST’s Face Recognition Technology Evaluations and DHS Biometric Tests. Its technology enables identity, access, and fraud prevention systems at global scale. Trusted by leaders across travel, payments, digital identity, hospitality, security, and health identity sectors, the company combines benchmark-leading performance with ethically built, modular AI infrastructure for high-accuracy identity verification and authentication.

Innovatrics ABIS is a biometric identity management system supporting fingerprint, iris and facial recognition. Fast and accurate performance is achieved with minimal hardware requirements. Thanks to its modular architecture, our ABIS is easy to customize. Open APIs allow smooth integration with other systems to avoid vendor lock-in. We have successfully deployed our ABIS to hundreds of large scale biometric projects, including some of the most complex biometric systems worldwide. Utilizing our fingerprint, facial and iris recognition technology, you can easily get a solution tailored to your business processes. Our high-performing algorithms are consistently ranked among the best based on independent NIST tests. With our ABIS modules, you can build an identity management solution tailored to your needs. Add additional modules and upgrade when necessary. Our licensing policies are flexible to suit the needs of each project.

Advanced investigative facial recognition solution for law enforcement and forensic investigators. Convert 2D images into 3D avatars for facial feature superimposition. FaceR Identity Management Solution, a centralized storage and management system for advanced 3D facial recognition powered by Animetrics' FaceR technology. Law enforcement officials, forensic investigators and security personnel have a pressing need to resolve suspects' identities from any kind of photographic evidence that captures an image of a suspects face including video surveillance cameras. ForensicaGPS, the new biometric solution from Animetrics, allows officers to identify individuals from low-resolution photos or video. ForensicaGPS features advanced facial recognition technology designed to increase the speed and enhance the accuracy of criminal investigations. The key to ForensicaGPS' accuracy is the software's ability to convert two-dimensional facial images into three-dimensional avatars.

Our image and video recognition APIs are proven, highly scalable, and leverage deep learning technology that you can implement within your own applications without prior knowledge of machine learning expertise. EyeRecognize’s suite of image and video recognition API services allow you to identify objects, people, text, scenes, and activities in images and videos, as well as detect any faces and NSFW content. Face Detection and Analysis, detect all face in images and video and get attributes such as face location, gender, age, eyes, and even emotion. Text Detection, extract text from images such as license plates, street signs, advertising, and brand names. Identify NSFW "Not Safe for Work" and other potentially inappropriate content across both image and video. The team behind EyeRecognize has been collectively developing artificial intelligence powered applications for over 40 years and first pioneered the use of machine learning to automate content moderation for social media.

OpenFaceTracker is a facial recognition program capable to detect one or several faces on a picture or a video, and to identify them via a database. OpenFaceTracker needs OpenCV3.2 and QT4 installed on your machine, you’ve got two options, if you love compiling libraries by hand, please follow build_oft, and installing Opencv and QT using your favorite packaging tool. You can compile OFT as a library or you can compile it as a standalone binary file. You can then open the file and execute the detection and recognition module. You can show help and exit, show the list of all available cameras, you can test the XML DB, read from the OFT config, and check the environment. OpenFaceTrackerLib uses Opencv 3.2. This latter has introduced many new algorithms and features comparing to version 2.4. Some modules have been rewritten, some have been reorganized. Although most of the algorithms from 2.4 are still present, the interfaces can differ.

We are a cybersecurity company specialized in fraud prevention and identity protection. Our mission is to provide secure digital experiences without friction, both for citizens and businesses, during the digital transformation process. We use different technologies applied for people recognition, based on their physiological or behavioral characteristics. Once the data has been captured, the system extracts a unique pattern for each individual, which will be used to make comparisons in the future. Transactional analysis of user behavior and channels for fraud detection and prevention. Secure, fast-response exchange of sensitive data through references to a vault of encrypted data. We provide a multi-channel fraud prevention solution that uses machine learning to create intelligent profiles and detect potentially fraudulent operations based on user behavior.

We protect millions of people in cities by empowering security professionals with massive AI and organized communication. Kipod enables instant search across the Big Data of CCTV video and real-time crime detection, using the most advanced machine learning algorithms. Isolation tracking by facial recognition. Instant alarm if crowding is detected in public spaces during coronavirus (COVID-19) and other dangerous infections. Find a person of interest by simply uploading a photo and receive instant results determining where and when this person was spotted. Find a person by age, race, gender, glasses, and other features. Validate the results instantly against all the criminal records. The Kipod cloud architecture enables secure, resilient, and easy deployment across unlimited cameras to unlimited users. Manage shared resources for thousands of users from multiple organizations. Provide granular access to video data, search features, databases of people and vehicles.

Prisma’s facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from a given image with faces within a database. It is also described as a biometric artificial intelligence-based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape. The print content would act as a marker for our engine and match with the corresponding reference image. Image recognition engines can also be used in marketing the brand by linking logos with ads, websites, and information. The process of capturing images from mobile devices and recognizing the same against a reference image. Prisma using its years of experience in the development of specialized algorithms for image recognition has now ported the same for applications.

Nexa|Face™ provides high-performance biometric algorithms for multistage facial recognition and identification or rapid, high-volume face authentication. Nexa APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric software for over twenty years. Nexa SDKs are designed to be easily configured for optimization of a system for a given application, database, computing platform, and operational environment. They include tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system. AwareABIS™ is an Automated Biometric Identification System (ABIS) used for large-scale biometric identification and deduplication, with support for fingerprint, face, and iris modalities. Its highly modular architecture allows it to be configured and optimized for either civil or criminal applications.

FacialProof is an advanced facial recognition API designed for secure, real time identity verification. It combines facial recognition, active and passive liveness detection, anti spoofing, and emotion analysis to ensure only real humans access sensitive actions. Supporting 1:1 verification and 1:N identification, it detects duplicates, banned users, and known identities. Developers can integrate via SDKs in Python, JavaScript, Java, and PHP across web and mobile apps. Cloud hosted for low latency and scalability, FacialProof emphasizes privacy and data security while enabling fraud prevention, step up authentication, and biometric re authentication. Ideal for startups, SMEs, and enterprises, it delivers fast, accurate, AI powered verification with multi face support and real time insights.

CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. It simplifies the detection of unauthorized access to sensitive areas and/or your office security perimeter. It can be used for both collecting data for marketing and sales purposes and/or targeting ads to customers in real-time. It helps track employees and students to verify they’re where they should be. It detects customers upon entrance, allowing businesses to provide excellent customer service. It speeds up checking in at hotels, conferences, and airports. We designed CompreFace to be highly effective, versatile, and straightforward.

Founded in 2022, Facia specializes in biometric authentication and facial recognition technology. We leverage advanced AI and ML algorithms to deliver secure solutions for businesses. Our 3D liveness detection technology offers rapid responses in under a second, achieving a 0% False Acceptance Rate (FAR) with an FRR below 1% to prevent unauthorized access. Our services include 1:1 Photo ID Verification, 1:N Face Search, and Age Verification. We offer customizable API and SDK integration options for seamless compatibility. Our system provides real-time 3D face verification, ensuring speed and precision without compromising security. We protect against print and mask-based spoofing. Facia is dedicated to advancing biometric authentication, providing secure identity verification solutions for businesses.

Detect and locate human faces within an image, and returns high-precision face bounding boxes.Face⁺⁺ also allows you to store metadata of each detected face for future use. Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Use Face⁺⁺ Detect API to detect faces within images, and get back face bounding box and token for each detected face. You can pass the face token to other APIs for further processing. Detect API also allows you to get back face landmarks and attributes for the top 5 largest detected faces. All APIs can be used for free, and you can flexibly upgrade to paid service according to your business volume by Pay As You Go service or QPS solution. SDK licensing options are also available on various devices. Face⁺⁺ allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.