Invisible AI Description
Ample storage is required to retain video footage locally for over 30 days while prioritizing data security. Training AI necessitates only a few samples, enabling rapid deployment within minutes. The system provides real-time analytics essential for various stakeholders. Cybersecurity measures are implemented at the edge, maintaining protection within the factory's firewall. Worker privacy is safeguarded, including the option for face blurring when needed. Notably, facial recognition technology is completely absent from the system. The solution is designed to be scalable across multiple factories with minimal infrastructure demands. It can be easily managed and integrated with a wide range of existing enterprise software. Our commitment is to deliver human-centered solutions that enhance working conditions while ensuring worker privacy. We assure a strict policy against facial recognition, focusing solely on aggregated metrics. Blurring operators' faces can be achieved with a single click, ensuring that AI performance remains unaffected, thereby enhancing both security and privacy. This holistic approach not only meets compliance standards but also fosters a more secure workplace environment.
Invisible AI Alternatives
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Ango Hub
Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality.
Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset.
Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Anyvision
A real-time automated alert system for watchlists that tracks persons of interest along with their historical contact data while ensuring the anonymity of innocent bystanders. This system also features a hands-free access control mechanism utilizing facial recognition technology to grant entry through secured points for authorized individuals, thereby enhancing safety from external threats. It allows seamless entry for those permitted to access a location, employing privacy-compliant and spoof-resistant facial recognition methods. By relying on facial recognition for authorization, the necessity to physically touch surfaces when entering restricted areas is completely eliminated. The software prevents congestion by rapidly recognizing individuals, ensuring swift identification. It can be deployed swiftly and integrates effortlessly with existing access control frameworks. Furthermore, it establishes enforceable digital barriers without the need for permanent installations and provides immediate notifications when unauthorized individuals are detected, enhancing overall security measures. This innovative approach not only streamlines access but also significantly bolsters safety protocols in various environments.
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Company Details
Company:
Invisible AI
Year Founded:
2018
Headquarters:
United States
Website:
www.invisible.ai/product
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Product Details
Platforms
Web-Based
Types of Training
Live Training (Online)
Customer Support
Business Hours
Online Support
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