DF-04 RID DID Signature Matching Supervision Node Streams UAV Identity Records Over 4G Backhaul

Most drone sensors stop at "something is flying". This configuration is built for the stage after that question: it identifies which airframe is flying. RID and DID payloads carried on the control link are decoded and matched against a built-in library of more than 800 UAV signatures, so the output is a brand, model and serial number rather than a warning buzzer.

• Evidence, not just alerts — a serial number and model name can be handed to an authority; a signal strength reading cannot.
• Fewer false call-outs — whitelist screening removes the registered delivery and survey flights that otherwise dominate a shift log.
• Platform-ready — 4G backhaul means the unit can sit on a pole or rooftop with no operator and still feed the control room.
• Deployable by one person — portable housing with a ≤45kg net weight, suited to temporary events as well as permanent supervision sites.

Built by Chongqing Miao Yi Tang Technology Co., Ltd., founded with USD 12 million and working in cooperation with the IoT Research and Development Center of the Chinese Academy of Sciences and Sichuan University Zhisheng Software Co., Ltd. (002253). The company develops AIoT cloud-plus-edge systems that combine electromagnetic, optoelectronic, visual and positional data into a single ground and low-altitude security picture — which is the architecture these supervision projects plug into.

Because these units usually enter a tender or a system integration, we deliver them with a signature library version note, a band plan matched to the site's spectrum survey, and the uplink protocol document your platform team needs for testing. Commissioning can be handled remotely over the 4G link or on site, and library updates are issued as new airframe models reach the market.

Figures shown describe the standard configuration; band segmentation, whitepaper-grade interface documents and whitelist rules are agreed during project review.