Smart Home with Home Assistant on OpenWrt
Introduction This blog will talk about how you can control your smart home appliances using
News
news – product updates
news – events
news – news letter
SLAMTEC RPLiDAR S2: New generation TOF radar with ultra-high standard sampling and precision for industrial scenarios
Compared with other series of laser scanners, we have introduced RPLIDAR from SLAMTEC with RPLIDAR
Smart Tea Plantation in Mengding Mountain Enabled by SenseCAP LoRaWAN to Augment Resource Efficiency and Customer Trust for SDGs
SenseCAP LoRaWAN gateway and sensors were deployed in the IoTea Project to monitor crucial environmental data needed to ensure the optimal tea quality in Ya’an of Southwest China. Through this Project, the overall tea plantation management costs have been lowered, economic yields have been increased, and the tea plantation’s brand image has been upgraded to attract customers who care about food traceability and sustainability. By doing so, the IoTea Project achieves the UN’s SDGs 8, 9, 12, 10, 11, 1, 5, 6, 7, 2, 4, 13, 15, 16 and 17.
Learn TinyML using Wio Terminal and Arduino IDE #6 Speech recognition on MCU – Speech-to-Intent
A traditional approach to using speech for device control/user request fulfillment is first, to transcribe
SenseCAP LoRaWAN in Triticale Farming: Precision Agriculture and Sustainable Livelihood Development in Dingzhou, Northern China
Beishao Triticale Field Project elaborates on a deployment scenario of SenseCAP LoRaWAN gateway and sensors for smart agriculture solutions in a triticale field of Dingzhou City in Northern China. This will advance resource-efficiency, environmental traceability, and sustainable technological applications on the field. As a result, this will facilitate self-empowerment of the farmers to manage their triticale fields more precisely by grasping the crop’s conditions and needs with less labor inputs, and later gain higher yields. Overall, this Project contributes to the UN’s SDGs 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12 and 17.
Smart Home with Node-RED on OpenWrt
Introduction This blog will talk about how you can control your smart home appliances using
Fast(er) Machine Learning Inference on Raspberry Pi SBC – Four optimization techniques
A while ago I made a video on semantic segmentation with new Raspberry Pi HD
Bittle pet robot dog presented at the ELEXCON International Electronics Show and Embedded Systems Show in Shenzhen
From September 27th to 29th, ELEXCON Shenzhen International Electronics Fair & Embedded Systems Fair was
Welcome to the Future: SenseCAP LoRaWAN Devices Deployed for Poultry Farming Accelerate Sustainable Animal Husbandry
Smart Poultry Farming Project depicts how SenseCAP LoRaWAN gateway and sensors are transforming the traditional animal husbandry industry sustainably, by harnessing IoT environmental sensing and monitoring for environmental variables of poultry farms. This Project seeks to advance the UN’s SDGs 2, 3, 4, 8, 6, 7, 9, 12, 13 and 17.
Smart Greenhouse for Sustainable Agriculture: SenseCAP LoRaWAN Enables Tropical Fruit Cultivation in Northern China
Laiwu Tropical Fruit Cultivation Project portrays a successful case of our SenseCAP LoRaWAN series applied to smart greenhouse farming of tropical fruits in Northern China. Through this Project, Northern farmers are equipped with new knowledge on automated greenhouse control, and the value of precision farming. By doing so, the Project can positively influence the UN’s SDGs 10, 2, 1, 8, 9, 12, 11, 16, 13 and 17.
What Is Yocto? Why Should You Use Yocto for Embedded Linux Applications
Yocto Project is a cool open-source community project that allows you to build your own
Field-Ready IIoT Solution: Precision Animal Husbandry Enabled by Seeed’s SenseCAP LoRaWAN Hardwares and Machinechat’s JEDI One Software
In order to accelerate precision farming to maintain an optimal level of environmental conditions tailored to the growth and health of livestock in multiple housing sites, Seeed and Machinechat collaborated to make a ready-to-be-deployed IIoT solution, that measures, transfers, aggregates, and visualizes the real-time environmental data of temperature, humidity, light intensity, and air quality.