PLUME DESIGN, INC.

A packaging system for retaining an annular shaped unit in a vertically aligned position relative to a base plane, the packaging system may include a carrier base including a first receptacle, and a retaining member including a second receptacle and a wedge, the wedge being configured to retain the annular shaped unit in the second receptacle in the vertically aligned position, the retaining member being arranged in the first receptacle. The first receptacle may include a bottom surface having a concave shape corresponding to a shape of the annular shaped unit. The packaging system may also include a container including a base member and a top member. The base member being adapted to receive the carrier base therein, and the top member being configured to receive the base member therein, the container being configured to fully contain the carrier base, retaining member, and annular shaped unit therein.

Disclosed are systems and methods that provide a computerized network management framework that adaptively configures a network at a location to ensure connectivity and/or network services are maintained. The disclosed framework enables the implementation of multi-link operation (MLO) functionality within WiFi 7 enabled networks to implement non-disruptive off-channel scanning. The framework can utilize MLO backup/redundant links that can mitigate network disruptions in service/connectivity for client devices that are WiFi 7 capable during the performance of off-channel scanning of access point (AP) devices for a network by diverting network traffic to an activated MLO link while an available channel/radio (e.g., 5 GHZ) is used to perform such off-channel scanning.

System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

Systems and methods for detecting a first level disengagement of the wireless access point electrical plug with the electrical outlet and providing a notification responsive to the first level of disengagement of the electrical plug with the electrical outlet. Detecting a second level of disengagement that is larger than the first level disengagement of the electrical plug with the electrical outlet and turning off the power supply responsive to the second level disengagement. The response to the second level disengagement of the electrical plug with the electrical outlet includes turning off the power supply such that the one or more additional access points take over the Wi-Fi access from the access point. The sensor can be either mechanical or optical and the distance of detecting the first level and second level disengagement is measured in millimeters.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

Disclosed are systems and methods that provide a novel cross-session authentication framework that enables secure local and/or network sessions to be effectuated via biometric tracking via a wearable device (e.g., smart ring). In some implementations, when a user wearing a smart ring is authenticated with a first secure resource (e.g., a computer system such as a smart phone application associated with the smart ring), such authentication can be maintained and leveraged to access other resources that are separately being securely held. The smart ring, when properly worn, can monitor biometrics (e.g., vital signs) of a user, and based therefrom, determine if and/or when the smart ring is removed/manipulated from the user's finder. Until the smart ring is removed, the smart ring's confirmation of being worn by the user can be leveraged as an identification token that can enable the user access to other securely held information.

Disclosed are systems and methods that provide a novel framework for testing and configuring user equipment (e.g., a client device, for example) based on wireless access point (AP) simulations provided via an AP device. The disclosed framework can operate to provide accurate and efficient testing and wireless configuration of modeled devices based on the AP simulations. The disclosed AP device operates to simulate a client device (e.g., a mobile device, for example) physically moving from one AP to another, which is enabled via a set of AP chambers that are associated with the AP device, thereby enabling roaming activities, testing and configuration from a single device (and without requiring the client device to physically move).