SEE ID, Inc., doing business as Dot Ai, an innovative startup in the asset intelligence technology space, has announced the launch of their new IoT tracking hardware. This next-generation technology product, ZiM (Zero Infrastructure Mesh, or “ZiM”) from Dot Ai, is poised to revolutionize asset tracking in logistics and supply chain management. The patented ZiM technology was developed by leaders from the RFID and IT security industries to replace the outdated and expensive technologies logistics operations have relied on for decades.
“After years of meticulous research and development, we are launching our revolutionary ZiM IoT technology in the market,” said Dot Ai CEO Edmund Nabrotzky. “We believe this first-of-its kind technology will transform the landscape of asset tracking for logistics, an industry that relies heavily on manual processes as well as RFID technology which has not seen major innovation since its conception in the 1980s.”
ZiM is designed to offer an innovative asset management solution by securely gathering data at the edge of the enterprise. It can read both passive (battery free transponders) and active (battery powered beacons) to provide data for supervisory systems. The bridge can operate with its own battery power when mounted on moving racks or pallets or be hardwired to power for fixed installation in aisles or doorways. Up to four general purpose I/O pins are available to connect the bridge to external sensors or signaling devices to enhance workflows. It also has integrated bright signaling LEDs to direct workers in common tasks.
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Legacy systems rely heavily on personnel to execute orders and workflows, only collecting data at the start and end of significant process milestones. The ZiM hardware can be present and move through the process as an IoT edge solution, enabling real-time and constant data collection throughout. This approach is critical in providing a rich source of data for optimization of AI integrations, including the AI engine developed by Dot Ai. Note that AI camera integration is also available in this engine, enabling object recognition and image/video capture in the asset record as an overlay to process data collected wirelessly by ZiM.
Dot Ai SaaS software leverages the tools of agile cloud services, including a Rules Engine to define and enforce application-specific behavior. The engine can constrain, monitor, alert or drive device actions to prevent rule violations, increasing efficiency through common machine learning techniques. Another use of AI is to enhance common material handling workflows by providing real-time, context-aware suggestions and actions based on intelligent algorithms and learned enterprise-specific workflows.
Source: Businesswire