A system and associated method configured for monitoring an industrial setting is disclosed. The sensor kit can include an edge device and a plurality of sensors that capture sensor data and transmit the sensor data via a self-configuring sensor kit network. At least one sensor can capture sensor measurements and output instances of sensor data, generate and output reporting packets, and transmit the reporting packets to the edge device via the self-configuring sensor kit network in accordance with a first communication protocol. The edge device receives reporting packets from the plurality of sensors via the self-configuring sensor kit network, generates a data block based on the sensor data, and transmits the data block to one or more node computing devices that collectively store a distributed ledger that is comprised of a plurality of data blocks.

Systems herein allow an administrator to efficiently enroll computing devices into a mobile device management system, even when those computing devices are offline and not connected to the system. A management server can include a console that allows the administrator to enroll an offline computing device by selecting an offline enrollment option on a registration record. This option can cause the management server to create a device record, indicating the computing device is enrolled. The management server can also create and save a provisioning file onto a storage device, such as a USB drive. Assets, such as graphics and applications, specified by the device record are also saved onto the storage device. The storage device can be physically connected to the computing device, at which point the provisioning file guides automatic installation of the assets and implementation of device settings and compliance rules specified by the device record.

Technology is described for providing preconfigured device representations in a service provider environment. A plurality of device representation parameters may be received for a device via a user account. A preconfigured device representation may be created for the device using the plurality of device representation parameters. The preconfigured device representation may be associated with the user account. The device may be registered with the service provider environment. A registration of the device may be performed when the device initially connects to the service provider environment. The registration may assign a device identifier to the device and may associate the user account with the device. The preconfigured device representation may be provided to the device after the registration of the device is completed.

The present disclosure is directed to systems and techniques for providing zero-touch deployment (ZTD) and/or adaptive network traffic control policy management for deployed Internet-of-Things (IoT) devices. In one example, the systems and techniques can include obtaining a network traffic policy from a network traffic control service and obtaining one or more data usage policies from an IoT hub. Data usage measurements can be obtained for a plurality of IoT devices. One or more IoT device traffic policies can be automatically generated based at least in part on the network traffic policy, the one or more data usage policies, and the data usage measurements. The IoT device traffic policies can be used to provision or configure at least a portion of the plurality of IoT devices.

A first computing device is configured to (i) detect a triggering event that causes the first computing device to transmit a first set of one or more messages collectively indicating that the first computing device is available for setup, (ii) establish an initial wireless communication path with a second computing device, (iii) receive, from the second computing device via the initial wireless communication path, a second set of one or more messages including security information for a secure wireless network that is defined by one or more network devices, where the initial wireless communication path with the second computing device does not traverse any of the one or more network devices, (iv) use the security information to connect to the secure wireless network, and (v) transition from communicating with the second computing device via the initial wireless communication path to communicating with the second computing device via the secure wireless network.

Disclosed herein are system, method, and device embodiments for zero touch deployment and dynamic configuration. A management server receives a dynamic configuration value for a configuration setting via a configuration service, and generates configuration information including a mapping of a configuration setting to the dynamic configuration value. Further, the management server receives a configuration information request including an identifier associated with a remote client device, and sends the configuration information to the remote client device.

The invention is based, in part, on a system and method designed to be able to easily and automatically scale up to millions of cameras and users. To do this, this discourse teaches use of modern cloud computing technology, including automated service provisioning, automated virtual machine migration services, RESTful API, and various firewall traversing methods to facilitate the scaling process. Moreover, the system and method described herein teaches scalable cloud solutions providing for higher though-put camera provisioning and event recognition. The network may segregate the retrieval server from the storage server, and by doing so, minimizing the load on any one server and improving network efficiency and scalability

An Internet of Things (IoT) system is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT agents coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT agents, wherein the IoT servers and the IoT agents further includes a deep reinforcement neural network operative to generate an action map {a.sub.t} so as to satisfy an

[00001]$\underset{a_t}{\arg \max }Q\left(s,a,\pi \right)$

wherein Q(s,a)=E[R.sub.t|(s, a)].

The management of internet of things (IoT) objects through a self-describing interoperability framework is described. In one example, a method for self-described object management includes communicating, by an internet of things (IoT) object, a request to register the IoT object, receiving, by the IoT object, an inquiry from an IoT management system, and communicating, by the IoT object, a self-describing declaration to the IoT management system. The self-describing declaration can include an interface parameter schema for the IoT object and an operating parameter schema for the IoT object, among other data structures. The method can also include establishing an interoperability framework between the IoT object and the IoT management system based on the interface parameter schema and the operating parameter schema. Based on self-describing declarations from various IoT objects, a number of different IoT objects can be easily recognized, integrated with, and managed by the IoT device management system.

A smart parking system and method are disclosed which includes a plug-and-play and point to multipoint (PnP&P2MP) based internet of things (IoT) parking sensors, gateway managers, and user devices that can share information via a network. The information is used to preserve parking spaces, calculate minimum parking search time, and establish a dynamic queuing system to achieve high throughput, avoid traffic congestion and time losses.