is being used to help businesses across all sectors optimize and automate business processes by creating intelligent products and services or designing intelligent business processes. Deep learning
, intelligent analytics
, face and object recognition, face verification, traffic management, access control, and intelligent analysis are some of the rapidly developing technology which offers businesses significant development opportunities.
8 AI-based video analytics platforms provide users with better security and automated business intelligence.
1. AnyVision's Better Tomorrow tactical surveillance system
AnyVision have built an intelligent AI recognition platform designed for video surveillance that is capable of being used across multiple industries for face, body, and object recognition. The technology works when deployed on most types of cameras and does not require the installation of highly elaborate sensors. Better Tomorrow is AnyVision's state of the art platform that enables one-to-many recognition on-demand AI tracking. Users have the ability to make use of the platform's key features: person of interest, heat map, multisites, object recognition, human recognition and multifactor invariant. The platform can also be leveraged for commercial use by retailers for key statistical analysis and data collection.
2. Cortica Smart City
Cortica is empowering cameras and UAVs with the visual understanding to create smart cities of tomorrow, improving infrastructure with real-time, flexible, unsupervised AI. Unsupervised AI that understands situational and contextual behavior can comb through hours of video in real-time to identify patterns, concepts and alert situations, driving improvements in safety, traffic management, and much more. Unsupervised AI on smart drones and other aerial solutions can analyze and interpret big data to make infrastructure maintenance more effective and efficient. Cortica's platform can run on devices to provide visual navigation (without GPS), real-time analytics, in-drone analysis and visual intelligence, which could be integrated into city-wide security systems.
3. Ultinous Security Solution
The Ultinous Security Solution includes access control, queue management with predictive alerting and online face checking which provides a solution that could be implemented in crowd controlling situations. The main elements of Ultinous' technology include: head/face detection, face recognition and verification, real-time anonymization, gender and age estimation, person re-identification, and tracking. A complex access control solution manages the automatic enter and exit control processes of authorized personnel, or can alert security staff of known offenders/unknown people without visitor registration. The queue management system uses AI to send alerts to security when a queue is going to form, therefore appropriate action can be taken alleviating queue pressure points.
4. Xnor Machine Learning
AI for everyone, everywhere proclaims Xnor as they move AI toward the edge. Xnor integrates AI software functionality like computer vision, speech recognition or almost any other machine learning functionality into products making them smart. Xnor AI models are designed to run in resource constrained environments and are performance optimized on a wide range of diverse hardware platforms. Therefore, with Xnor’s AI software, everyday battery-operated products are capable of running deep learning, which can be utilized on items such as: gas pumps to detect tampering of swipe payment units, entertainment venues to monitor crowd behavior, and to identify misplaced stock keeping units in warehouses.
5. Kairos Facial Recognition Platform
Kairos is building a facial recognition platform that lets you quickly integrate human identity features into products and services, while also enabling developers and businesses to easily build facial recognition into their software products. This integration comes through the use of their API which has taken a multifaceted AI approach to recognition. The facial recognition platform from Kairos can be been implemented for a multitude of practical purposes via: facial detection, facial identification, facial verification, age detection, gender detection, multi-face detection, facial coordinates, face grouping and diversity recognition which can be used for access control, building management, or digital onboarding. Images are submitted to Kairos’ API and deep learning algorithms analyze the faces.
6. IntelliVision AI Video Analytics
AI-based facial recognition software by IntelliVision searches an existing database of faces and compares them with the faces detected in the scene to find a match. It can detect up to 15 faces in the camera's field of view at the same time, and then match them against faces stored on a database. Anti-spoofing is provided through "liveness" testing without the need for a stereo or 3D camera. Facial recognition can be accessed in real time and faces can easily be enrolled from still images or video. Through model training with millions of faces from datasets, zero gender or racial bias occurs. The facial recognition software can be built into smart building security systems, turnstiles, gates and even vending machines, as well as smart home security and personalization applications
7. SkyREC's In-Store Shopper AI Platform
SkyREC has created a dedicated AI platform for analysis of in-store shopper behavior for those in the retail sector. By using real-world insights, it is possible to optimizatize of store operations and marketing strategies. This optimized analytical information can be used by retail managers to manage aspects of loss prevention and safety and security. SkyRec’s AI for retail platform can be used in different scenarios by retailers for situations such as: evaluating store traffic, display adjustments, access control, loss prevention, and supervising merchandise.
8. Rank One Computing Facial Recognition
Rank One Computing's SDK facial recognition system provides 24/7 security. The challenges of unconstrained environments present in security, including inconsistent illumination, off-angle faces, and other confounding factors, can be effectively managed using algorithms. The software can be used for real-time scanning with alerts being sent when blacklisted individuals enter the premises. Forensic analysis can be checked after an adverse event has occurred and identities can be validated when providing access to events or stadiums.