What are the applications of automation in wearable human physiological detection technology?
Wearable health monitoring system
(
Wearable
Health
Monitoring
System,
WMHS) refers to the use of wearable biosensors to collect human movement and physiological parameters to achieve non-invasive, continuous and non-invasive diagnostic monitoring of the human body to help the wearer achieve sports and health management. . This system generally has basic functional modules such as physiological motion signal detection and processing, signal feature extraction, and data transmission and analysis. Among them, the human body information mainly obtained by physiological movement signal detection includes:
The first is in vitro data collection, which mainly obtains movement status, movement distance and amount of movement through a three-dimensional movement sensor with G-sensor or GPS to help users Manage exercise and sleep;
The second is through physical data (such as heart rate, pulse rate, respiratory rate, body temperature, heat consumption, blood pressure, blood sugar and blood oxygen, hormones and BMI index, body fat content) monitoring to help users manage important physiological activities.
The design and development of wearable biosensor systems for health monitoring has attracted much attention in recent years, mainly due to increasing medical costs and the development of micro-scale wearable sensors, smart textiles, microelectronics, and wireless communications and other scientific and technological advances. Wearable sensor-based health monitoring systems will minimize the impact on the wearer's daily activities, in order to achieve personal health management under low physiological and psychological load and real-time monitoring of patient health conditions. Wearable health monitoring systems include various types of physiological detection sensors, data transmission modules and data processing modules, and can thus provide low-cost, unobtrusive monitoring of health, psychological and behavioral status throughout the day.
What are the advantages of the workwear wear detection system?
1. High alarm accuracy
The intelligent video analysis system has built-in intelligent algorithms, which can eliminate interference from climate and environmental factors, effectively make up for the shortcomings of manual monitoring, and reduce the overall cost of the video surveillance system. False positive rate and false negative rate.
2. Real-time identification and alarm
Based on intelligent video analysis and deep learning neural network technology, real-time identification and early warning of personnel not wearing work clothes. The alarm signal can be displayed on the monitoring client interface or The alarm information is pushed to the mobile terminal, and the alarm lights and sirens are linked to prompt users to handle them in time.
3. All-weather operation is stable and reliable
The intelligent video surveillance system can conduct 7×24 uninterrupted analysis of surveillance images, greatly improving the utilization of video resources and reducing the need for manual monitoring. Work intensity.
4. Alarm storage function
Real-time identification and early warning of personnel not wearing work clothes are promptly stored in the server database, including time, location, snapshots, videos, etc.
What is a seat belt wearing detection system and what problems does it solve?
The safety belt wearing detection system automatically detects the safety belt wearing of workers working at heights in real time without manual intervention. Once it detects that workers are not wearing safety belts when working at heights, the system will automatically alarm and notify the monitoring and management center. Remind relevant personnel to handle it promptly. At the same time, alarm screenshots and videos are saved to the database to form reports. Alarm records, alarm screenshots, and videos can be queried and played on demand based on time periods, which facilitates post-event trace tracing and quick search of the responsible person.
Intelligent inspection equipment includes fully automatic laser three-dimensional inspection equipment and fully automatic visual three-dimensional inspection equipment.
Intelligent inspection system refers to an intelligent system that uses automated inspection to replace traditional manual inspection. Through terminal system control, the automated inspection system can perform 3D measurement, deviation comparison, and CAV full-size on key process parameters of the production process. After comparison, subsequent analysis can be used to improve the process and conduct quality control.
CASAIM is a company that develops and produces automated three-dimensional inspection systems. The newly upgraded CASAIM-IM automated three-dimensional inspection system is equipped with the world's leading three-dimensional scanner through a robotic arm, which can ensure a measurement accuracy of 0.02mm. Quickly obtain important dimensional data such as complex contours, grooves, apertures, and geometric tolerance testing items to help companies complete the product quality inspection optimization process.
CASAIM is a division under the Chinese Academy of Sciences with a central enterprise background. It was established in 2006. It has long been focusing on technology and application research such as 3D printing, 3D digitization, automated measurement and intelligent detection, and developing innovative technologies and products. Provide relevant technical services and comprehensive solutions to customers around the world.
If you want to know more about the automated detection system, please feel free to come to the official website: CASAIM official website to discuss with us!