Sensor Tag Research Articles

Monitoring hand hygiene with commercial gas sensors: A pattern recognition approach

Insufficient hand hygiene compliance of Health care workers is a widespread problem in medicine leading to several preventable infections each year. Hence, World Health Organization (WHO) presumes, that up to 1 in 10 patients acquires a Health care associated infection (HCAI) while receiving treatment in health care facilities. Apart from hand hygiene adherence and compliance, a correct hand disinfection technique regarding the amount of hand rub and exposure time is crucial for hand hygiene efficacy. Since alcohol-based hand rub is prevalent in the medical sector, the present study presents a new method for anonymous, electronic hand hygiene monitoring with commercial Ethanol gas sensors. In contrast to previous attempts of electronic monitoring, which mostly merely count the amount of hand hygiene actions, the present approach exploits different algorithms of Machine Learning to assess and categorize the hand disinfection technique into correct and incorrect. To demonstrate functionality of the mentioned approach, labeled hand disinfection data was collected in a pilot study over the period of one year with two different sensor setups. In detail, on the one hand a commercial portable gas sensor tag is used, which can be directly attached to the surgical gown. On the other hand, the performance of several commercial gas sensors is investigated, which are stationarily mounted next to the hand rub dispenser station. The present study follows three subgoals: Firstly, suitability of the stationary vs. portable setup shall be assessed. Secondly, the adequacy of different commercial gas sensor types is evaluated and thirdly the performance of possible algorithms for time series classification of the given sensor response is investigated, i.e. Support Vector Machines (SVM) as well as different Deep Learning algorithms, such as Multilayer Perceptron (MLP), Fully Convolutional Neural Networks (FCN) and a Bidirectional Long-Short-Term Memory network (Bi-LSTM). It could be found that the stationary setup is significantly superior compared to the portable setup. For most of the sensors within this stationary setup an accuracy score between 85% and 87% could be obtained for classification of correctly and incorrectly performed hand disinfections.

Flexible RFID Tag for Sensing the Total Minerals in Drinking Water via Smartphone Tapping

The recent advances in energy-efficient electronics and sensor fabrication techniques have reshaped the way of sensing and communication, which have nurtured many novel applications. Among the emerging sensing techniques, wirelessly powered sensing and communication enhanced by Radio Frequency Identification (RFID) has gained increasing popularity. In this investigation, we propose a novel flexible RFID sensor tag powered and interrogated by a smartphone with its in-built High-Frequency (HF) RFID module, which can be applied for convenient non-contact analysis of liquids. In this work, the evaluation of total minerals in drinking water is conducted as a proof-of-concept demonstration. The main contributions include: (1) modeling and theoretical analysis of a planar capacitive sensor for liquids analysis by sensing the dielectric properties; (2) design of a flexible capacitive sensor tag that can be conformally mounted on the sidewall of containers for the liquid analysis; (3) a power-efficient hardware scheme for HF RFID powered battery-less sensing via smartphone tapping; (4) a Near Field Communication (NFC) data transmission method for convenient measurement without added software in smartphone devices. Finally, the developed sensor tag is calibrated by multi-piece linear function fitting. Experimental results and quantitative analysis demonstrate the feasibility of the proposed methodology.

Passive Ultra High Frequency RFID sensor with reference tag for crack detection of aluminum alloy structure

It can be ensured safe and reliable operation of a metallic structure by monitoring the positions which are easy to crack. Because the channel changes with the environment, a tag sensor in the ultra high frequency (UHF) is vulnerable to interference. This paper aims to investigate the reliability of passive RFID sensor systems with a reference tag for crack detection of aluminum alloy structures when the condition of reading distance and surrounding environment changes. The impedance and gain of tags are simulated, which provides theoretical basis for experimental analysis. With an increase of crack depth, the impedance of the sensor tag shifts to the low frequency direction, and the reference tag changes slightly. When dual tags are placed orthogonally, the gain of the sensor tag changes greatly, which means that it is more sensitive to crack depth. The backscatter power of the sensor tag shows a decline trend, and the power of the reference tag remains unchanged. The sensor features a linear response with the variation of crack depth. The sensitivity of crack characterization is better when dual tags are placed orthogonally.

Monitoring of beef cold chain to ensure quality, safety, and halal using RFID: A review

The traceability application by the industry to ensure products along the supply chain include quality, safe and halal. Traceability is an essential part of the cold chain system for meat and meat products. The cold chain of beef, including a slaughterhouse, distribution, and retail, needs to be monitored. The decline in the beef quality is marked by sensory changes such as color, unpleasant odor, and mucus formation triggered by bacterial growth. Beef quality is easily damaged during distribution due to the complexity and length of the cold chain. Consumers also pay attention to the halalness of beef in the supply chain. The implementation of Radio Frequency Identification (RFID) can monitor changes in quality and halalness of beef when distribution utilizes various sensor and product information tags. RFID requires a transponder to store and retrieve data remotely, an antenna for transponders, and a reader. This article reviews the RFID traceability system, the cold supply chain for beef, and RFID development to maintain beef quality, safety, and halalness. RFID technology helps producers and consumers to get quality, safe, and halal beef information in real-time.

Temperature sensor tag based on supercavity mode of dielectric resonator

This paper presents a wireless temperature sensor design based on the excitation of a high-Q supercavity mode in a dielectric resonator. Narrow resonance bandwidth improves sensor performance enabling accurate temperature measurements. The sensor consists of a half split ceramic cylinder attached to a metal sheet. The resonator parameters which lead to the excitation of a supercavity mode were obtained numerically. When the ambient temperature increased continuously from 23 to 120°C the notable shift of the resonant frequency was experimentally demonstrated.

Revealing the diversity in cattle behavioural response to high environmental heat using accelerometer-based ear tag sensors

Cattle heat stress responses elicit behavioural adaptation in the form of elevated respiration rate and panting with phase shifts (with increasing severity from closed mouth panting to closed mouth with drool, open mouth, and to open mouth with tongue out) and from “rapid-shallow” to “slow-deep” breathing with increasing temperature. Accelerometer-based sensors can accurately monitor cattle behaviour under experimental and commercial conditions, however, the accuracy of such sensors to monitor the different phases of panting is yet to be determined. Also, despite panting duration diversity between individual cattle of the same breed in the same environment, little is known as to why this occurs. Here we assess the ability of ear tag accelerometer sensors to monitor cattle panting severity and the diversity in behavioural response between heat-susceptible and heat-tolerant cattle when exposed to high heat load. A pen of 99 feedlot heifers were fitted with ear tag sensors and individual cattle panting responses were visually monitored for three consecutive heat event periods. Minute-level panting and non-panting individual cattle data as recorded by sensors were tested against visual observations. Sensitivity (Se), Specificity (Sp), and Youden index (J = Se + Sp – 1) were calculated as test diagnostics for sensor-based classification of panting considering the visual observations as gold standard. Raw minute-level sensor data classified all panting phases with Se 0.30–0.33, Sp > 0.70, and J > 0. Data filtering methods were applied which resulted in systematic improvements in the test diagnostics. Cattle growth, visual panting score (PS) and sensor-detected behaviour duration data were obtained for two selected heat event periods from the same animals. Variability of sensor-detected behaviour durations for visually detected heat-susceptible (PS ≥ 1) and heat-tolerant (PS < 1) category cattle were evaluated by fitting linear mixed models. The heat-susceptible cattle category had greater panting and eating and reduced resting time per day which was most pronounced in the hotter periods of the day. Susceptibility to heat could be attributed to greater growth potential and increasing eating during hotter periods and the associated metabolic heat created. In light of this key finding, adjusting feeding time may reduce the susceptibility of cattle to heat by reducing the heat increment of feeding while environmental heat is at its peak. Overall, the duration of panting and other behaviours across 24 h could be commercially practical for autonomous monitoring of panting severity in cattle, and, from a research perspective, data filtering can improve minute-level accuracy.

Laboratory and Field Experimental Validation of Two Different Predation Sensors for Instrumenting Acoustic Transmitters in Fisheries Research

We validated the performance of two types of predation sensors on acoustic telemetry transmitters in a combined field and laboratory study design using juvenile Atlantic Salmon Salmo salar and a predator large Brown Trout Salmo trutta. One tag model was outfitted with an acid‐sensitive predation sensor, and the other was equipped with a tilt‐based orientation sensor. We found similar response times for the two tag types to identify a predation event (time between known ingestion of a tagged fish and triggering of the predation sensor). However, the orientation sensor model was more accurate in laboratory trials, correctly identifying 100% of events in which predators were fed the tagged fish, whereas correct identification of predation events was 50% for the acid‐sensitive sensor in similar trials. The acid‐sensitive tags were smaller (0.65 g in air), and all 10 were eventually expelled by predators in the laboratory (2–22 d after tag ingestion). By contrast, only two of five tags with orientation sensors (1.4 g in air) were expelled in a similar period (13 and 16 d after tag ingestion). Both tags had distinct benefits: acid‐sensitive sensor tags were very small, and orientation sensor tags were seemingly more accurate and transmitted raw orientation data to receivers for postprocessing.

Isoguanine (2-Hydroxyadenine) and 2-Aminoadenine Nucleosides with an 8-Aza-7-deazapurine Skeleton: Synthesis, Functionalization with Fluorescent and Clickable Side Chains, and Impact of 7-Substituents on Physical Properties.

7-Functionalized 8-aza-7-deaza-2'-deoxyisoguanine and 8-aza-7-deaza-2-aminoadenine 2'-deoxyribonucleosides decorated with fluorescent pyrene or benzofuran sensor tags or clickable side chains with terminal triple bonds were synthesized. 8-Aza-7-deaza-7-iodo-2-amino-2'-deoxyadenosine was used as the central intermediate and was accessible by an improved two-step glycosylation/amination protocol. Functionalization of position-7 was performed either on 8-aza-7-deaza-7-iodo-2-amino-2'-deoxyadenosine followed by selective deamination of the 2-amino group or on 7-iodinated 8-aza-7-deaza-2'-deoxyisoguanosine. Sonogashira and Suzuki-Miyaura cross-coupling reactions were employed for this purpose. Octadiynyl side chains were selected as linkers for click reactions with azido pyrenes. KTaut values calculated from H2O/dioxane mixtures revealed that side chains have a significant influence on the tautomeric equilibrium. Photophysical properties (fluorescence, solvatochromism, and quantum yields) of the new 8-aza-7-deazapurine nucleosides with fluorescent side chains were determined. Remarkably, a strong excimer fluorescence in H2O was observed for pyrene dye conjugates of 8-aza-7-deazaisoguanine and 2-aminoadenine nucleosides with a long linker. In other solvents including methanol, excimer fluorescence was negligible. The 2-aminoadenine and isoguanine nucleosides with the 8-aza-7-deazapurine skeleton expand the class of nucleosides applicable to fluorescence detection with respect to diagnostic and therapeutic purposes.

Investigation the influence of miniaturized RFID tag sensor on coupling effect

Purpose The skin and skeleton of aircraft are connected by adhesives or rivets to bear and transfer aerodynamic load. It is easy for crack and fracture damage to occur under the action of cyclic load, thus reducing aircraft bearing capacity/integrity and causing serious security risks. Therefore, it is particularly important that passive wireless radio frequency identification (RFID) sensors be used for the health monitoring of aircraft skin in its whole life cycle. This paper aims to investigate the influence of miniaturization on the coupling effect between RFID tag sensors. Design/methodology/approach Two groups of crack sensing systems based on RFID tags were designed. Gain and mutual impedance of sensor tags were analyzed via mode analysis. The reliability of crack detection of both sensing systems was compared using a preset experimental scheme. Findings Miniaturized antennas can reduce edge influence and the coupling effect. Gain and mutual impedance decrease with the increase in distance between dual tags. Backscatter power shows a decreasing trend and threshold power to activate tags in reader antenna increases. Results show that the miniaturization of size is more suitable for the application of multiple sensors. Originality/value By comparing two groups of sensing systems, the consistency of crack detection sensitivity is better when small tags are placed in parallel, which provides a theoretical basis for the application of small, passive and densely distributed crack sensors in the future.

Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data

Biological, environmental, economic and ethical issues become increasingly pertinent as the scale of the aquaculture industry expands. This study used acoustic telemetry data and wavelet analysis to investigate behavioural patterns of Atlantic salmon when exposed to artificial underwater lights in fully stocked production cages located on the Norwegian coast. Using acoustic depth sensor tags, time series of depth registrations were gathered from 21 individual salmon distributed over three cages during a five-month experimental period. Underwater lights, normally used to suppress pre-harvest sexual maturation amongst Atlantic salmon, were installed at eight-metre depth and switched on in the middle of the experimental period. Swimming depth registrations initially showed a typical diurnal swimming behaviour, manifested by registrations generally in deeper waters during day-time than during night-time. The diurnal swimming behaviour abruptly ceased after the onset of lights. The change in swimming behaviour was detected by wavelet analysis and coincided with the introduction of underwater lights. Results from this study demonstrate the utility of wavelet analysis as a timely surveillance tool when investigating behavioural patterns of a periodic nature in fish, and specifically the individual response of farmed salmon to artificial lighting in a genuine industrial setting.

Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap.

Simple SummaryIn a pig farm, it is challenging for the farm caretaker to monitor the health and well-being status of all animals in a continuous manner throughout the day. Automated tools are needed to remotely monitor all the pigs on the farm and provide early alerts to the farm caretaker for situations that need immediate attention. With this goal, we developed a sensor board that can be mounted on the ears of individual pigs to generate data on the animal’s activity, vocalization, and temperature. The generated data will be used to develop machine learning models to classify the behavioral traits associated with each animal over a testing period. A number of factors influencing the technology adoption by farm caretakers are also discussed.Precision swine production can benefit from autonomous, noninvasive, and affordable devices that conduct frequent checks on the well-being status of pigs. Here, we present a remote monitoring tool for the objective measurement of some behavioral indicators that may help in assessing the health and welfare status—namely, posture, gait, vocalization, and external temperature. The multiparameter electronic sensor board is characterized by laboratory measurements and by animal tests. Relevant behavioral health indicators are discussed for implementing machine learning algorithms and decision support tools to detect animal lameness, lethargy, pain, injury, and distress. The roadmap for technology adoption is also discussed, along with challenges and the path forward. The presented technology can potentially lead to efficient management of farm animals, targeted focus on sick animals, medical cost savings, and less use of antibiotics.

Knowledge Development Trajectories of the Radio Frequency Identification Domain: An Academic Study Based on Citation and Main Paths Analysis

The study collected papers on radio frequency identification (RFID) applications from an academic database to explore the topic’s development trajectory and predict future development trends. Overall, 3820 papers were collected, and citation networks were established on the basis of the literature references. Main path analysis was performed on the networks to determine the development trajectory of RFID applications. After clustering into groups, the results are twenty clusters, and six clusters with citation counts of more than 200 were obtained. Cluster and word cloud analyses were conducted, and the main research themes were identified: RFID applications in supply chain management, antenna design, collision prevention protocols, privacy and safety, tag sensors, and localization systems. Text mining was performed on the titles and abstracts of the papers to identify frequent keywords and topics of interest to researchers. Finally, statistical analysis of papers published in the previous 4 years revealed RFID applications in construction, aquaculture, and experimentation are less frequently discussed themes. This study provides planning directions for industry, and the findings serve as a reference for business domain. The integrated analysis successfully determined the trajectory of RFID-based technological development and applications as well as forecast the direction of future research.

Capturing and recording cold chain temperature violations through parametric alarm-sensor tags

While the Internet-of-Things has already fueled a plethora of different possibilities, we are still in need of means to mitigate the inefficiencies of the cold chain generating every year massive food and drug waste, even causing serious illnesses. This is caused by the lack of remote sensing technologies suitable for a widespread deployment able to timely mark any cooled items exposed to inadequate temperatures. This work introduces a class of printable, battery-less, and chip-less passive tags, namely, the Parametric Alarm Sensor Tags (PASTs), allowing detection of any violations in the storage temperature of refrigerated items with extraordinary reading ranges. In order to do so, PASTs leverage a three-way sensing scheme and nonlinear dynamics never explored in any tag technologies to trigger the passive generation of a radio frequency signal only when the temperature exceeds a remotely configurable threshold (Tth). Furthermore, PASTs exhibit a dynamically enabled temperature-controlled hysteresis loop. As a result, the signal generated at the occurrence of a temperature violation remains active even if the temperature returns within a tolerable range. This allows us to flag any items previously or currently exposed to inadequate temperatures, allowing their prompt identification. We report a 870 MHz PAST and show that, thanks to its unique characteristics, it is finally possible to identify any items along the cold chain whose temperature has exceeded a remotely configurable Tth value as low as −47 °C, even if operating in uncontrolled electromagnetic environments and up to 46 m away from the corresponding PAST outside a line-of-sight.

A Long-Range and Self-Powered Intelligent Food Monitoring System Based on Far-Field Energy Harvesting and Pressure Measurement

Introduction In recent decades, food safety is becoming a top concern in the world because it is directly related to human health. According to World Health Organization statistics, about 550 million people are poisoned each year because of unsafe food consumption. One of the leading causes of foodborne illnesses is the consumption of rotten and expired foods. Therefore, the development of a food monitoring system is essential. Indeed, many studies have focused on developing battery-free food monitoring systems based on radio frequency energy harvesting (RFEH) technology due to its benefits such as durability, low cost, and safety for stored food [1]-[2]. The major disadvantage of these studies is that they estimated food quality using gas sensors, which require large energy consumption (typically over 10mW). Moreover, the gas sensors need a long time to heat up to obtain accurate sensor data. These drawbacks reduce the feasibility of implementing these systems in practice.This paper aims to develop a self-powered battery-free food monitoring system based on far-field RFEH technique and pressure measurement, which can overcome the problems with the conventional methods. Methods and Experiments The overview architecture of our proposed system is depicted in Fig.1. The self-powering capability of the sensor tag is provided by converting the radio wave transmitted from an RF generator into electrical signals. The antenna is the first component and plays a vital role in an energy harvesting system. To improve the received power and enhance the distance of power transfer, we have developed a printed Yagi-Uda Three element (driver, director, and reflector) because of its simplicity in design, high gain, compact size, and low cost [3]. The operating frequency of the antenna is chosen at the unlicensed Industrial Scientific Medical (ISM) band of 915MHz. Besides, in this study, we focus on monitoring the gradual increase of the air pressure inside the food container due to gas emission during food degradation. The air pressure sensor has ultra-low energy consumption and high precision, suitable for the limited energy condition of far-field RFEH system. Finally, we conduct a set of experiments with different sorts of food, such as pork, fish, and chicken, to demonstrate the feasibility of the proposed method. Results and Conclusions As a result, the designed Yagi antenna has a high gain of 6.54dBi in the direction of the maximum radiation, better than the isotropic antenna in some conventional systems that usually achieve about 1.7 dBi [1]. The reflection coefficient of the Yagi-Uda antenna achieved -26.8dB and voltage standing wave ratio (VSWR) better than 1.3 in approximately 60 band (890-950 MHz). At a distance of 6 meters, the harvested RF power reach -10.9dBm , and the rectifying voltage was obtained at 380mV , which is high enough for the tag to launch its functions. The sensor unit is designed with ultra-low power components and consumes only 300μW on average. The air pressure, temperature, and humidity data obtained from the sensor tag are used to evaluate and estimate the food quality, demonstrating the proposed method's effectiveness.

Simultaneous Detection of Multiple Surface Acoustic Wave Sensor Tags for Water Quality Monitoring Utilizing Cellular Code-Reuse Approach

A water quality monitoring application often requires the deployment of Internet-of-Things (IoT) sensors over a wide water body with communication links among them to transmit, receive the data, and then uplink it to the cloud for further analytics. Deployment of this kind requires battery-assisted IoT sensors which require monitoring the battery level and replacement when necessary. It is thus desirable to have battery-free sensor tags and a suitable communication infrastructure to obtain data. In this article, a system that facilitates obtaining sensed data, like pH, through passive sensor tags based on surface acoustic wave (SAW) technology and a cellular code-reuse scheme-based reader infrastructure is proposed. The reader in each cell is able to read multiple sensor tags simultaneously, which itself has been a challenge. The SAW sensor tags are appropriately proposed to be designed to be orthogonal to allow simultaneous detection and the cell range of reader-SAW sensor-tags communication is sought to be further enhanced through a resonant loading of interdigital transducer (IDT)-based reflectors.

Wireless Detection of Biogenic Amines Using a Split-Ring Resonator with Silver Nanoparticles-Decorated Molybdenum Disulfide

Safety associated with ammonia requires the development of gas sensors for various applications, including food spoilage detection and livestock farming management. Radio-frequency identification (RFID) is a promising technology to fabricate a wireless gas sensor for remote concentration readouts. However, most of the reported RFID-enabled gas sensors determined the analyte concentration by using the reflection coefficient (S11) of sensor tag as an indicator, which was prone to be disturbed by measurement variations and external disturbances. Herein, we reported a wireless gas sensor with high tolerance to measurement variations through recognizing the resonant frequency (f) of sensor tag, enabling reliable detection of ammonia and various biogenic amines in real time. Compared with other conducting 2D materials, molybdenum disulfide (MoS2) exhibits tunable semiconducting properties and high specific surface area, which can serve a promising candidate for RFID-based gas sensors. By immobilizing silver nanoparticles-decorated molybdenum disulfide nanosheets (Ag@MoS2) on a nested split-ring resonator (SRR), the SRR sensor tag exhibited significant f downshifts at increasing ammonia concentrations, featuring with high sensitivity to ammonia (0.097 ppm–1, based on relative f changes), low detection limit (<1 ppm), and fast response time. Furthermore, our wireless gas sensor enables early detection of biogenic amines from meat spoilage and animal excrements. Finally, we installed our wireless sensors at a poultry farm with chicken flock>10,000 to provide reliable readouts of localized concentrations of biogenic amines.

Radio frequency identification in internet of underground things using a soil dielectric attenuator and microstrip antenna as tag sensor

AbstractThis work proposes an underground things (UT) based on radio frequency identification for internet of UT (IoUT) systems. The UT is formed by a microstrip antenna encapsulated in a soil dielectric attenuator (SDA). The dimensions of the antenna and SDA are designed through simulations and a prototype is manufactured for experimentation in two types of soil. Reflection coefficient (S11) and received signal strength indicator (RSSI) measurements were performed to verify the viability of the prototype. The measured results of S11 showed satisfactory agreement with the simulations and the antenna encapsulated in the SDA has small variations in the resonance frequency in the presence of moisture. The RSSI results indicated the potential of UT as a soil moisture sensor.

A Bending Passive RFID Tag as a Sensor for High-Temperature Exposure

This paper introduces a prototype of a low-energy high-temperature exposure sensor, which is a temperature-sensitive passive UHF RFID tag that bends forward when exposed to warm air. This “Bending Tag” design is based on a simple dipole antenna fabricated from an electro-textile material. The antenna has a 3D-printed substrate, which is constructed from a commercial Thermo Reactive Filament that gets soft when exposed to 50°C for 30 seconds, causing the tag to bend forward and curve. The sensor tag initially has a read range of more than 6 meters throughout the global UHF RFID frequency band. After bending, there is a significant decrease in the read range (to around 2–3 meters), which is caused by the changed backscattered power of the sensor tag. In an office environment, the backscattered power changes from −36 dBm to −43 dBm. The change in a sensor tag-reference tag system as dP% is approximately 70%. Based on these initial results, our bending tag can be further developed to work as a cost-effective low-energy sensor for monitoring high-temperature exposure.

Transient Analysis of Energy Harvester for UHF Wireless Applications

In this letter, a detailed transient analysis is performed on a modified Dickson charge pump (CP) circuit, widely used as an energy harvester in radio frequency identification (RFID) and wireless sensor tags at ultrahigh frequency (UHF). An analytical model was developed and experimentally validated to capture the transient response of a multistage CP circuit at arbitrary capacitive and resistive load. The detailed analysis addresses the effect of stage number and matching network on steady-state dc voltage, efficiency, and charging rise time. The analysis shows that the steady-state voltage varies in proportionate to √(n) and the rise time varies in proportionate to n at no load condition, where n is the number of stages.

Fast tag identification for mobile RFID robots in manufacturing environments

Purpose In manufacturing environments, mobile radio frequency identification (RFID) robots need to quickly identify and collect various types of passive tag and active tag sensor data. The purpose of this paper is to design a robot system compatible with ultra high frequency (UHF) band passive and active RFID applications and to propose a new anti-collision protocol to improve identification efficiency for active tag data collection. Design/methodology/approach A new UHF RFID robot system based on a cloud platform is designed and verified. For the active RFID system, a grouping reservation–based anti-collision algorithm is proposed in which an inventory round is divided into reservation period and polling period. The reservation period is divided into multiple sub-slots. Grouped tags complete sub-slot by randomly transmitting a short reservation frame. Then, in the polling period, the reader accesses each tag by polling. When tags’ reply collision occurs, the reader tries to re-query collided tags once, and the pre-reply tags avoid collisions through random back-off and channel activity detection. Findings The proposed algorithm achieves a maximum theoretical system throughput of about 0.94, and very few tag data frame transmissions overhead. The capture effect and channel activity detection in physical layer can effectively improve system throughput and reduce tag data transmission. Originality/value In this paper, the authors design and verify the UHF band passive and active hybrid RFID robot architecture based on cloud collaboration. And, the proposed anti-collision algorithm would improve active tag data collection speed and reduce tag transmission overhead in complex manufacturing environments.