QR codes collaborate with logistics systems through wireless communication! Visualizing logistics quality in real-time.
We would like to introduce our electronic paper tag with transportation condition monitoring functionality, 'I-MONG.' It enables the sharing of package information via a two-dimensional code and visualizes logistics quality in real-time, allowing for IoT connectivity through a smartphone and BLE. Our lineup includes the "I-MONG_H," which is compatible with security area deliveries, and the "I-MONG_T," which addresses temperature variations inside refrigerated boxes using three sensors. 【Features】 ■ Real-time logistics quality visualization via two-dimensional code ■ Real-time PSD evaluation confirmation ■ Real-time damage boundary curve evaluation ■ Display of impact occurrence locations on a map ■ Three measurement modes (Monitoring Mode / Recording Mode / Confirmation Mode) *For more details, please download the PDF or feel free to contact us.
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basic information
【Basic Specifications】 ■Temperature: -20℃ to 60℃ (±0.2℃) ■Humidity: 10 to 90% rh (±3% rh) ■Shock: ±200G (±5%) *Automatic switching between low G mode and high G mode ■Tilt: ±180° (±1°) *X, Y two-dimensional axis direction *For more details, please download the PDF or feel free to contact us.
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Applications/Examples of results
【Addressing such issues (partially)】 ■ Concern about accidents in joint logistics ■ Want to check the loading condition before departure ■ Want to confirm if the packaging is appropriate *For more details, please download the PDF or feel free to contact us.
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Company information
IOTek G.K. specializes in the research and development, manufacturing, and sales of logistics quality visualization tools, collision testing systems, and strain measurement solutions. By integrating cargo information with transportation quality data at every stage, our technology enables real-time generation and display of two-dimensional codes. This ensures early detection of incidents throughout the logistics process and allows for rapid, effective response. Leveraging precise measurement technologies for physical phenomena, advanced data-processing methodologies based on scientific principles, technical standards, and empirical knowledge, as well as real-time communication technologies tailored to various applications, we are committed to supporting the widespread adoption of AI-driven infrastructure and contributing to a smarter, more reliable logistics ecosystem.
