Description:FIELD OF THE INVENTION

[0001] The present invention relates to an integrated textile quality and workplace safety monitoring device that is developed to monitor and optimize various processes such as production quality, worker safety, environmental conditions, and overall operational health within manufacturing settings, thus ensure adherence to quality standards, safety protocols, and environmental compliance.

BACKGROUND OF THE INVENTION

[0002] In textile manufacturing environments, maintaining consistent product quality and ensuring safe working conditions are critical. Traditionally, workers manually inspect the quality of textiles, monitor air and water conditions, and verify compliance with safety regulations. Standard equipment used for these tasks includes basic measurement tools for fabric thickness, visual inspection systems, and manual safety checks. However, these traditional methods are prone to human error, inefficiencies, and lack of real-time data integration. This results in inconsistent quality assessments, delayed safety interventions, and challenges in maintaining optimal environmental conditions within the production facility.

[0003] Early textile manufacturers used rudimentary measuring tools like rulers, callipers, and visual inspection for evaluating fabric thickness, texture, and quality. These tools were primarily used for detecting defects or ensuring the fabric met certain standards. However, these tools are limited to surface-level inspection, missing hidden defects or material issues. So, people also use power looms and automatic weaving machines, which increased the speed of textile production and reduced the reliance on manual labour. These machines had basic sensors that detect simple issues such as thread breakage or fabric jams. But these basic sensors lacked the capability for detailed inspections. Also, worker safety checks were typically conducted manually in the form of daily inspections. Protective gear like gloves and masks were distributed by supervisors when needed, and workers were trained to identify potential hazards. But manual intervention meant delays in addressing unsafe conditions.

[0004] CN118778533A discloses about an invention that includes an intelligent monitoring system for textile workshop management, which includes a spinning process monitoring module, a weaving process monitoring module, a printing and dyeing process monitoring module, a process operation feedback module, an abnormal process feedback module, a normal operation feedback module, a process production control module, and a data storage library. When analyzing the production quality of a textile workshop, the present invention performs production quality analysis on each production equipment of different processes such as spinning, weaving, and printing and dyeing. This analysis method can accurately locate the bottleneck links and potential problems in the production process. When analyzing whether the production of a textile workshop meets the production requirements, the present invention performs quality fluctuation and quality abnormality analysis based on the production quality of the equipment corresponding to each process, obtains the equipment production operation quality index of the textile workshop, and performs analysis on whether it meets the production requirements, thereby ensuring the comprehensiveness of the production quality analysis.

[0005] EP2687838A2 discloses about an invention that includes a device for monitoring the quality of moving linear textile material, particularly yarn, at an operating unit of a textile machine, comprising a radiation source and a linear digital optical sensor, between which a space has been created for linear textile material passage, whereby between the radiation source and the space for passage of linear textile material is arranged an optical member. The optical member is formed by an aspheric bi-cylindrical lens, comprising a spheric cylindrical surface having the axis of the cylinder parallel with the direction of the movement of the monitored textile material and the aspheric cylindrical surface having the axis of the cylinder perpendicular to the direction of the movement of the monitored textile material.

[0006] Conventionally, many devices have been developed that are capable of determining textile quality and monitoring workplace safety. However, these devices are incapable of performing real-time assessment and evaluation of production quality. Additionally, these existing devices also lack in monitoring and enforcing worker safety protocols which results in chances of accidents during the operation.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that is capable of navigating predefined zones within an industrial environment for precise, real-time assessment and evaluation of production quality, enabling the immediate detection of inconsistencies or defects, thereby ensuring high product standards and operational accuracy. In addition, the developed device also offers an automated solution for monitoring and enforcing worker safety protocols, thereby minimizing the risks of accidents and ensuring compliance with safety regulations.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that is capable of navigating predefined zones within an industrial environment for precise, real-time assessment and evaluation of production quality, enabling the immediate detection of inconsistencies or defects, thereby ensuring high product standards and operational accuracy.

[0010] Another object of the present invention is to develop a device that offer an automated solution for monitoring and enforcing worker safety protocols, thereby minimizing the risks of accidents and ensuring compliance with safety regulations.

[0011] Another object of the present invention is to develop a device that optimize the use of resources by identifying inefficiencies and streamlining workflows based on real-time data, thereby reducing waste and enhancing productivity.

[0012] Yet another object of the present invention is to develop a device that actively monitor worker behaviour, ensuring compliance with safety protocols and providing real-time notifications for non-compliance, thus improving workplace safety and reducing potential risks.

[0013] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0014] The present invention relates to an integrated textile quality and workplace safety monitoring device that is capable of facilitating the movement across designated areas within an industrial setting for accurate, real-time analysis and evaluation of manufacturing quality, allowing for the prompt identification of flaws or discrepancies, thereby maintaining superior product standards and operational precision.

[0015] According to an embodiment of the present invention, an integrated textile quality and workplace safety monitoring device is disclosed comprises of, a mobile body equipped with locomotion means and integrated with a GPS (Global Positioning System) module for precise navigation at pre-defined zones within an enclosure, a water and dye inspection unit installed with the body to assess water and dye quality for dyeing processes, the water and dye inspection unit is installed via an extendable L-shaped link for adjusting position of the water and dye inspection unit that includes a turbidity sensor, a pH sensor, a TDS sensor, a spectrophotometric sensor and a colorimetric sensor for detecting water and dye quality, a textile quality inspection unit to evaluate textile quality for detecting defects and consistency, the textile quality inspection unit comprises of a machine vision camera, a laser profile meter for surface topography analysis, and an ultrasonic sensor for measuring fabric thickness and density, to evaluate the textile quality, an air inspection unit mounted on the body for detecting air quality in the enclosure, and the air inspection unit includes a particulate matter sensor and a gas sensor for detecting airborne particles and harmful gases.

[0016] According to another embodiment of the present invention, the device further includes an artificial intelligence-based imaging unit installed on the body via a rotary joint, for monitoring pre-installed indoor systems, structural integrity and safety compliance within the enclosure, a compartment installed in the body for storing masks and gloves, coupled with an articulated robotic arm to dispense protective gear to non-compliant workers detected by the imaging unit, the imaging unit is equipped with an OCR (Optical Character Recognition) module for scanning worker identification documents to verify age compliance, generating real-time alerts for anomalies via a wireless notification to a computing unit wirelessly linked with a control unit of the body, the imaging unit is configured to detect and mark inessential items within the enclosure, notifying concerned personnel via a wireless notification on an user interface installed in the computing unit to remove clutter and optimize productivity, a temperature sensor is installed on the body integrated with the GPS module, for comparing real-time ambient temperature data with a centralized database to detect unsafe temperature variations, the control unit processes the assessed quality of textile being manufactured, along with working conditions in the enclosure, to calculate a cumulative score depicting that is accessible to the concerned personnel via the user interface, a holographic projection unit is assembled on the body and is configured to project three-dimensional visuals of real-time data, inspection results, safety protocols, and three-dimensional models of machinery and infrastructure.

[0017] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0018] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a perspective view of an integrated textile quality and workplace safety monitoring device.

DETAILED DESCRIPTION OF THE INVENTION

[0019] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0020] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0021] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0022] The present invention relates to an integrated textile quality and workplace safety monitoring device that is capable of enabling precise navigation through predefined areas within an industrial environment, allowing for real-time monitoring and evaluation of production quality, ensures the immediate detection of any defects or inconsistencies, thereby maintaining high standards of product quality and ensuring operational accuracy throughout the production cycle.

[0023] Referring to Figure 1, a perspective view of an integrated textile quality and workplace safety monitoring device is illustrated, comprising a mobile body 101 equipped with locomotion means 102, a water and dye inspection unit 103 installed with the body 101 via an extendable L-shaped link 104, a textile quality inspection unit 105, comprises of a machine vision camera 106, a laser profile meter 107, and an ultrasonic sensor 108, an air inspection unit 109 mounted on the body 101, an artificial intelligence-based imaging unit 110 installed on the body 101 via a rotary joint 111, a compartment 112 installed in the body 101 coupled with an articulated robotic arm 113, a holographic projection unit 114 is assembled on the body 101.

[0024] The device disclosed herein comprising a mobile body 101 configured for autonomous navigation within a designated enclosure, the body 101 being operatively equipped with locomotion means 102 comprising at least one pair of track wheels and further integrated with a GPS (Global Positioning System) module. The locomotion means 102 facilitates surface traversal, including on variable terrain, while the GPS module enables real-time position acquisition and zone-specific navigation based on pre-configured coordinates. The coordinated functionality allows the mobile body 101 to traverse defined paths with spatial accuracy, ensuring operational reliability in constrained or mapped environments.

[0025] The track wheels function by rotating a continuous looped belt (track) around multiple wheels—typically a drive wheel, idler wheel, and rollers—which together distribute weight evenly and maintain traction. The drive wheel, powered by a motor, initiates movement of the belt, propelling the mobile body 101 forward or backward depending on the motor’s direction. Steering is achieved by varying the rotational speed of the track pairs on either side, enabling pivoting or turning. This allows the body 101 for stable, controlled movement over uneven or soft terrain, minimizing slippage and enhancing manoeuvrability.

[0026] The GPS module operates by receiving signals transmitted from multiple satellites orbiting the Earth. At least four satellite signals are used to triangulate the exact location of the mobile body 101 in terms of latitude, longitude, and altitude. The module calculates positional data by measuring the time delay between satellite transmission and signal reception. This location data is then processed in real time by the control unit, which cross-references the position against pre-defined zone coordinates. This, enables the body 101 to follow a designated route or remain within specified boundaries, with positional accuracy typically within a few meters.

[0027] A water and dye inspection unit 103 operatively mounted to the mobile body 101 via an extendable L-shaped link 104, the linkage enabling positional adjustment of the unit for optimal sampling and measurement. The inspection unit 103 comprises a plurality of integrated sensors including a turbidity sensor, pH sensor, TDS (Total Dissolved Solids) sensor, spectrophotometric sensor, and colorimetric sensor, each configured to detect, measure, and assess respective quality parameters of water and dye solutions utilized in dyeing processes.

[0028] The link 104 is pneumatically actuated, wherein the pneumatic arrangement of the link 104 comprises of a cylinder incorporated with an air piston and the air compressor, wherein the compressor controls discharging of compressed air into the cylinder via air valves which further leads to the extension/retraction of the piston. The piston is attached to the telescopic link 104, wherein the extension/retraction of the piston corresponds to the extension/retraction of the link 104. The actuated compressor allows extension of the link 104 to position the inspection unit in an appropriate position.

[0029] The turbidity sensor emits a beam of light into the water and dye solution. Suspended particles within the solution scatter this light, which is then detected by a photodetector positioned at an angle to the light source. The intensity of scattered light correlates with turbidity level. The sensor continuously measures this scattering and transmits corresponding turbidity values to the control unit. These readings indicate the presence of particulate matter or undissolved solids in the water and dye solution, allowing for immediate quality control actions to maintain clarity and uniformity in dyeing operations.

[0030] The pH sensor contains a glass electrode and a reference electrode, both submerged in the water and dye solution. The glass electrode interacts selectively with hydrogen ions, producing a voltage relative to the reference electrode. This potential is directly related to the hydrogen ion concentration, from which the pH value is calculated. The sensor transmits real-time pH data to the control unit, enabling monitoring of the chemical conditions of the water and dye solution. Any deviation from acceptable pH ranges is detected, ensuring optimal chemical balance for effective dye bonding during textile processing.

[0031] The TDS sensor functions by measuring the electrical conductivity of the water and dye solution. Two electrodes apply a low-voltage alternating current across the solution, and the resulting current flow is influenced by the presence of dissolved ionic solids. The conductivity reading is converted into a Total Dissolved Solids value using a calibration factor. This TDS value reflects the concentration of dissolved materials such as salts or dye constituents in the solution. The sensor enables continuous monitoring of water and dye quality, ensuring consistency and compliance with dyeing process specifications.

[0032] The spectrophotometric sensor directs light at specific wavelengths through the water and dye solution and measures the amount of light absorbed. Different dye components absorb light at characteristic wavelengths, and the sensor records absorbance levels across a spectrum. The absorbance data is processed to determine the concentration and identity of dye substances in the solution. This sensor enables precise real-time analysis of dye strength, purity, and stability, supporting quality assurance throughout the dyeing process. The results are transmitted to the control unit for verification against process standards and adjustment where necessary.

[0033] The colorimetric sensor evaluates the colour characteristics of the water and dye solution by measuring light reflection or transmission within the visible spectrum. A light source illuminates the solution, and sensors detect reflected or transmitted light intensities across red, green, and blue channels. The RGB values are converted into a digital colour profile or compared against a reference standard. The sensor continuously monitors changes in colour, enabling detection of inconsistencies in the dye formulation or process. This ensures uniform coloration in dyed textiles and supports real-time quality control within industrial dyeing operations.

[0034] A textile quality inspection unit 105 is integrated in the body 101 designed for the objective evaluation of textile fabric quality and detection of manufacturing defects and structural inconsistencies. The textile quality inspection unit 105 comprises a machine vision camera 106 for real-time visual inspection, a laser profile meter 107 for surface topography characterization, and an ultrasonic sensor 108 for quantifying fabric thickness and density. Each component operates under precise industrial parameters to ensure compliance with quality control standards and is used in a systematic manner to assess the textile material during or after the production process to determine conformity with predefined specifications and tolerances.

[0035] The machine vision camera 106 records continuous, high-resolution images of textile fabric during inspection. The camera 106 operates with calibrated lighting to eliminate ambient interference and optimize image clarity. The images are subjected to real-time processing where specific protocols analyze them for defects such as weave inconsistencies, stains, or missing threads. The camera 106 applies contrast differentiation and edge detection to pinpoint irregularities and categorizes them by type and severity. This facilitates automatic identification and documentation of anomalies, enabling subsequent corrective actions. The inspection occurs without halting fabric motion, maintaining production efficiency while enforcing visual quality compliance criteria.

[0036] The laser profile meter 107 functions by directing a laser line across the moving textile surface, with a sensor capturing the distortion of the line. This distortion is measured using triangulation to determine vertical variations, generating a topographic profile of the fabric. Each height deviation is mapped in real-time, allowing for immediate recognition of surface anomalies such as ridges, depressions, or inconsistent textures. The meter 107 functions continuously and non-invasively, ensuring accurate representation of fabric surface geometry. By identifying deviations from standard topography, it provides essential data for quality validation and surface uniformity assurance throughout the inspection process.

[0037] The ultrasonic sensor 108 emits pulsed sound waves toward the textile and records the time it takes for the waves to reflect back. These measurements allow for precise calculation of fabric thickness and estimation of density based on wave travel speed and attenuation. The sensor 108 requires no contact with the textile, facilitating non-intrusive and continuous evaluation. Data acquired is processed in real-time to assess consistency across the fabric length, detecting anomalies such as variable thickness or compactness.

[0038] An air inspection unit 109, affixed to the body 101 of the enclosure, is designated for the monitoring and evaluation of ambient air quality within the defined space. The air inspection unit 109 comprises a particulate matter sensor and a gas sensor, each independently operative for the detection of airborne contaminants. The particulate matter sensor identifies and quantifies suspended solid and liquid particles, while the gas sensor detects the presence and concentration of specified harmful gases.

[0039] The particulate matter sensor operates by drawing air through a laser-based optical chamber where a light source illuminate’s particles suspended in the air. As particles pass through the laser beam, they scatter light at varying angles. A photodetector captures the scattered light, converting the intensity and angle of the scattering into electrical signals. These signals are processed to determine the concentration and size distribution of particulate matter, such as PM1.0, PM2.5, and PM10. The sensor performs continuous, real-time monitoring, enabling accurate tracking of particulate levels to identify any deviation from prescribed air quality thresholds within the enclosed area.

[0040] The gas sensor functions by exposing a chemically sensitive element to the ambient air within the enclosure. Target gases interact with the sensing material, inducing a measurable change in its electrical resistance, voltage, or current. This change is proportional to the concentration of the gas present. The sensor is calibrated for specific harmful gases such as carbon monoxide, nitrogen dioxide, or volatile organic compounds. Real-time signal processing converts these responses into quantifiable gas concentration values. Continuous operation allows for the prompt identification of unsafe gas levels, thereby supporting the maintenance of air quality compliance and occupant safety in enclosed environments.

[0041] The body 101 is installed with an artificial intelligence-based imaging unit 110 by means of a rotary joint 111 for monitoring pre-installed indoor systems, structural integrity and safety compliance within the enclosure. The imaging unit 110 disclosed herein comprises of an image capturing arrangement including a set of lenses that captures multiple images of the surroundings and the captured images are stored within memory of the imaging unit 110 in form of an optical data.

[0042] The imaging unit 110 also comprises of the processor which processes the captured images. This pre-processing involves tasks such as noise reduction, image stabilization, or color correction. The processed data is fed into AI protocols for analysis which utilizes machine learning techniques, such as deep learning neural networks, to extract meaningful information from the visual data which are processed by the microcontroller to monitor pre-installed indoor systems, structural integrity and safety compliance within the enclosure.

[0043] The rotary joint 111 functions as a mechanical pivot that allows the imaging unit 110 to rotate around a fixed axis. The rotary joint 111 is equipped with motorized components that respond to directional commands, enabling controlled angular movement. Sensors within the rotary joint 111 provide feedback on position and movement range, allowing precise orientation of the imaging unit 110. Power and data signals are transmitted through slip rings or rotary connectors embedded in the rotary joint 111, maintaining continuous electrical connection during rotation. The rotary joint 111 ensuring the imaging unit 110 dynamically reposition to monitor designated zones throughout the enclosure without interruption.

[0044] In an embodiment of the present invention, a ball-and-socket joint is integrated between the body 101 and the imaging unit 110 to provide the necessary movement to the imaging unit 110. The motorized ball and socket joint mentioned here consists of a ball-shaped element that fits into a socket, which provides rotational freedom in various directions. The ball is connected to a motor, typically a servo motor which provides the controlled movement. The imaging unit 110 is attached to the socket of the motorized ball and socket joint, the microcontroller sends precise instructions to the motor of the motorized ball and socket joint. The motor responds by adjusting the ball and socket joint and rotates the ball in the desired direction, and this motion is transferred to the socket that holds the imaging unit 110. As the ball and socket joint move, it provides the necessary movement to the imaging unit 110.

[0045] A compartment 112 is installed within the body 101 of the enclosure for the storage of personal protective equipment, specifically masks and gloves. This compartment 112 is mechanically coupled with an articulated robotic arm 113 designed for the selective dispensing of said protective gear. Activation of the dispensing function is triggered by non-compliance events identified by the artificial intelligence-based imaging unit 110, which monitors personnel within the enclosure for adherence to established safety attire requirements. Upon detection of non-compliance, the robotic arm 113 retrieves the appropriate protective item from the compartment 112 and extends it toward the identified individual, facilitating immediate rectification of the safety breach.

[0046] The robotic arm 113 used herein mainly comprises of motor controllers, arm, end effector and sensors. The arm is the essential part of the robotic arm 113 and it comprises of three parts the shoulder, elbow and wrist. All these components are connected through joints, with the shoulder resting at the base of the arm, typically connected to the microcontroller. The elbow is in the middle and allows the upper section of the arm to move forward or backward independently of the lower section. Finally, the wrist is at the very end of the upper arm and attaches to the end effector. The end effector connected to the arm acts as a hand and acquire a grip on the masks and gloves, to dispense protective gear to non-compliant workers.

[0047] The imaging unit 110 is further equipped with an Optical Character Recognition (OCR) module configured to scan and extract textual data from worker identification documents for the purpose of verifying age compliance within the enclosure. Upon detection of a document, the OCR module processes the image to extract relevant personal information, including date of birth. Any detected anomaly or non-compliance related to age verification prompts the generation of a real-time alert, which is transmitted via a wireless communication protocol to a remotely located computing unit. The computing unit is wirelessly linked to the control unit to facilitate responsive enforcement actions.

[0048] The OCR module captures a high-resolution image of the identification document using the imaging unit 110. The image undergoes preprocessing, including de-skewing, binarization, and noise reduction, to enhance clarity. The module segments the text into lines, words, and characters using layout analysis algorithms. Each character is then matched against trained font datasets through pattern recognition and machine learning models to convert the visual data into machine-encoded text. Extracted information such as the date of birth is parsed and evaluated against preset age criteria. If non-compliance is identified, the module initiates a wireless alert to the connected computing unit in real-time.

[0049] The imaging unit 110 is also configured to detect and identify inessential items within the enclosure that do not contribute to or may hinder operational efficiency. Upon detection, the unit marks such items based on predefined criteria associated with spatial organization and workflow relevance. A wireless notification is then transmitted to the computing unit, wherein a user interface displays the location and nature of the identified clutter. This enables the designated personnel to take timely action for removal.

[0050] A temperature sensor is installed on the body 101 and integrated with a GPS module for the purpose of monitoring real-time ambient temperature conditions within the enclosure’s geographic location. The sensor continuously collects temperature data, which is geotagged via the GPS module and transmitted to a centralized database. The collected data is compared against region-specific safety thresholds maintained in the database. Upon detection of unsafe temperature variations beyond permissible limits, the control unit initiates alerts and records the deviation for compliance tracking and corrective measures, thereby supporting environmental safety and regulatory adherence.

[0051] The temperature sensor measures ambient temperature by detecting changes in voltage, resistance, or current through a thermoelectric or thermistor-based element. As surrounding temperature varies, the sensor produces an electrical signal proportional to the thermal change. This signal is converted into digital data via an onboard analog-to-digital converter. The sensor transmits this data in real time to the processing module, where it is geotagged with coordinates from the GPS module. The temperature values are then relayed to a centralized database for threshold comparison. If readings exceed defined safety parameters, the control unit flags the anomaly and initiates an alert for immediate review.

[0052] The control unit is configured to process data relating to the assessed quality of textile being manufactured, as obtained from the textile quality inspection unit 105, in conjunction with environmental and safety condition data sourced from within the enclosure. This aggregated information is analyzed to compute a cumulative score reflecting both production quality and operational compliance. The cumulative score is continuously updated and made accessible to authorized personnel through the user interface integrated with the computing unit.

[0053] Further the body 101 is installed with a holographic projection unit 114 to project three-dimensional visuals of real-time data, inspection results, safety protocols, and three-dimensional models of machinery and infrastructure. The holographic projection unit 114 disclosed herein, comprises of multiple lens. After getting the actuation command from the microcontroller, a light source integrated in the projection unit 114 emits various combination of lights toward the lens which is further portrayed to project three-dimensional visuals of real-time data, inspection results, safety protocols, and three-dimensional models of machinery and infrastructure.

[0054] Moreover, a battery is associated with the device for powering up electrical and electronically operated components associated with the device and supplying a voltage to the components. The battery used herein is preferably a Lithium-ion battery which is a rechargeable unit that demands power supply after getting drained. The battery stores the electric current derived from an external source in the form of chemical energy, which when required by the electronic component of the device, derives the required power from the battery for proper functioning of the device.

[0055] The present invention works in the best manner, where the mobile body 101 equipped with locomotion means 102 and integrated with the GPS (Global Positioning System) module for precise navigation at pre-defined zones within the enclosure. The water and dye inspection unit 103 installed with the body 101 to assess water and dye quality for dyeing processes. The water and dye inspection unit 103 are installed via the extendable L-shaped link 104 for adjusting position of the water. The dye inspection unit 103 includes the turbidity sensor, the pH sensor, the TDS sensor, the spectrophotometric sensor and the colorimetric sensor for detecting water and dye quality. Then the textile quality inspection unit 105 to evaluate textile quality for detecting defects and consistency. The textile quality inspection unit 105 comprises of the machine vision camera 106, the laser profile meter 107 for surface topography analysis, and the ultrasonic sensor 108 for measuring fabric thickness and density, to evaluate the textile quality. Thereafter the air inspection unit 109 detecting air quality in the enclosure, via particulate matter sensor and the gas sensor which detects airborne particles and harmful gases. The artificial intelligence-based imaging unit 110 monitors pre-installed indoor systems, structural integrity and safety compliance within the enclosure. The compartment 112 installed in the body 101 for storing masks and gloves. And coupled with the articulated robotic arm 113 to dispense protective gear to non-compliant workers detected by the imaging unit 110.

[0056] In continuation, the imaging unit 110 is equipped with the OCR (Optical Character Recognition) module for scanning worker identification documents to verify age compliance, generating real-time alerts for anomalies via the wireless notification to the computing unit wirelessly linked with the control unit of the body 101. Further the imaging unit 110 is configured to detect and mark inessential items within the enclosure, notifying concerned personnel via the wireless notification on the user interface installed in the computing unit to remove clutter and optimize productivity. The temperature sensor comparing real-time ambient temperature data with the centralized database to detect unsafe temperature variations. Furthermore, the control unit processes the assessed quality of textile being manufactured, along with working conditions in the enclosure, to calculate the cumulative score depicting that is accessible to the concerned personnel via the user interface. Moreover, the holographic projection unit 114 project three-dimensional visuals of real-time data, inspection results, safety protocols, and three-dimensional models of machinery and infrastructure.

[0057] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , C , Claims:1) An integrated textile quality and workplace safety monitoring device, comprising:

i) a mobile body 101 equipped with locomotion means 102 and integrated with a GPS (Global Positioning System) module for precise navigation at pre-defined zones within an enclosure;
ii) a water and dye inspection unit 103 installed with the body 101 to assess water and dye quality for dyeing processes;
iii) a textile quality inspection unit 105 to evaluate textile quality for detecting defects and consistency;
iv) an air inspection unit 109 mounted on the body 101 for detecting air quality in the enclosure; and
v) an artificial intelligence-based imaging unit 110 installed on the body 101 via a rotary joint 111, for monitoring pre-installed indoor systems, structural integrity and safety compliance within the enclosure.

2) The device as claimed in claim 1, wherein the imaging unit 110 is equipped with an OCR (Optical Character Recognition) module for scanning worker identification documents to verify age compliance, generating real-time alerts for anomalies via a wireless notification to a computing unit wirelessly linked with a control unit of the body 101.

3) The device as claimed in claim 1, wherein the water and dye inspection unit 103 is installed via an extendable L-shaped link 104 for adjusting position of the water and dye inspection unit 103 that includes a turbidity sensor, a pH sensor, a TDS sensor, a spectrophotometric sensor and a colorimetric sensor for detecting water and dye quality.

4) The device as claimed in claim 1, wherein the air inspection unit 109 includes a particulate matter sensor and a gas sensor for detecting airborne particles and harmful gases.

5) The device as claimed in claim 1, wherein the textile quality inspection unit 105 comprises of a machine vision camera 106, a laser profile meter 107 for surface topography analysis, and an ultrasonic sensor 108 for measuring fabric thickness and density, to evaluate the textile quality.

6) The device as claimed in claim 1, wherein a compartment 112 is installed in the body 101 for storing masks and gloves, coupled with an articulated robotic arm 113 to dispense protective gear to non-compliant workers detected by the imaging unit 110.

7) The device as claimed in claim 1, wherein the imaging unit 110 is configured to detect and mark inessential items within the enclosure, notifying concerned personnel via a wireless notification on a user interface installed in the computing unit to remove clutter and optimize productivity.

8) The device as claimed in claim 1, wherein a holographic projection unit 114 is assembled on the body 101 and is configured to project three-dimensional visuals of real-time data, inspection results, safety protocols, and three-dimensional models of machinery and infrastructure.

9) The device as claimed in claim 1, wherein a temperature sensor is installed on the body 101 integrated with the GPS module, for comparing real-time ambient temperature data with a centralized database to detect unsafe temperature variations.

10) The device as claimed in claim 1, wherein the control unit processes the assessed quality of textile being manufactured, along with working conditions in the enclosure, to calculate a cumulative score depicting that is accessible to the concerned personnel via the user interface.