This project was last updated September 29, 2022 byCloodo
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Facial Recognition
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September 29, 2022
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AllGoVision is a renowned video analytics solution. With successful installation in more than 30 countries with the help of 100+ channel partners, AllGoVision has become a reputed name worldwide. AllGoVision is well-equipped with 50 plus basic and advanced features of video analytics which find varied applications in traffic surveillance, building surveillance, city surveillance, business intelligence across different sectors. AllGoVision has dedicated itself to in-depth research and product innovation and with the right mix of in-house Image processing expertise and skilful engineers, AllGoVision has been successfully integrated with 10+ major VMS like Milestone, Genetec, Honeywell EBI, HUS, DVM, Wavestore, etc. AllGoVision puts strong emphasis on robust performance, ease of use, customizability, and cost efficiency. Privacy for people under surveillance, unmasked video for storage, masked video for monitoring & evidence export.
This project was last updated September 29, 2022 byCloodo
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
This project was last updated September 29, 2022 byCloodo
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.
This project was last updated September 29, 2022 byCloodo
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.
This project was last updated September 29, 2022 byCloodo
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