Telecoms, Datacoms, Wireless, IoT

Warehouse staging area capacity solution

24 November 2021 Telecoms, Datacoms, Wireless, IoT

Taoglas, better known for its antennas, has furthered its drive to be an enabler of digital transformation through IoT with its new Taoglas EDGE Vision technology, which aims to streamline processes for numerous vertical IoT applications. The new platform is a foundation that can help OEMs and enterprises realise seamless and digitalised management of workflows, ensuring process safety, quality and reduced business costs with the help of machine vision AI technologies.

To illustrate the capabilities of its highly experienced machine vision AI engineering team, Taoglas demonstrated an interactive version of this technology at the recent Mobile World Congress event in Los Angeles with a warehouse staging area capacity solution. The solution provides real-time monitoring, reporting and alerts which allow warehouse management to monitor the number of packages or pallets in loading docks and goods inward and outward areas to prevent overloading or physical bottlenecks. The solution can be created to alert via Wi-Fi, Bluetooth or cellular when available capacity exceeds criteria. This can be set at required levels, allowing immediate response to circumvent a potential problem from escalating.

From the initial strategy definition through to the design, build, deployment and management of a solution, Taoglas offers the complete solution stack for a machine vision AI project. Adopters can choose to work on any element, including vision chip technology (Nvidia Jetson, Intel Movidius, Ambarella, etc.), base vision models (OpenCV, OpenVINO, etc.) and their full system requirements; firmware updates, edge processing, cloud hosting and power management design.

Taoglas Machine Vision services include:

• 2D and 3D vision design.

• Integrating cellular, GNSS and machine vision.

• Optics and illumination design.

• CV hardware and firmware.

• Low-power embedded designs.

• Machine and deep learning algorithm development.

• Depth sensing and sensor integration.

• Platform integration and support.


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