Some highlights of the certificate and the patent filings are attached. Additional attachments with details will be added soon.
This patent presents an integrated real-time monitoring system for pipe fluid management, employing IoT-based technology with solar-powered functionality to monitor and visualize fluid conditions within pipelines, such as sewage systems, remotely. The system eliminates the need for physical inspections, providing real-time insights via a web-based interface. Designed for optimal efficiency, the system was demonstrated successfully in a university setup, monitoring interconnected manholes spanning a range of up to 200 meters.
The System and Method of Pipe Fluid Monitoring System addresses critical challenges in monitoring pipeline fluid conditions, particularly in sewage systems, by offering a sustainable, automated, and efficient solution. The system integrates IoT sensors, solar power, and web-based visualization tools to provide real-time feedback on pipe fluid levels, flow rates, and potential blockages or overflows.
This patent builds upon the success of a prior web-based sewage monitoring project and incorporates several advancements to create a scalable and robust solution. It employs solar-powered IoT nodes deployed across the pipeline network, particularly at manholes, enabling seamless data collection and transmission to a central server. The data is then processed and visualized through a web-based application, which provides stakeholders with actionable insights without requiring manual inspections.
Integration of IoT and Solar Power:
Combines IoT-based sensors with solar panel technology, ensuring uninterrupted functionality in remote areas without external power sources.
Web-Based Visualization in Real-Time:
Provides an intuitive web interface to monitor fluid parameters like level, flow rate, and blockages.
Enables remote access for stakeholders, eliminating the need to access hazardous locations physically.
Crosslinked Monitoring of Manholes:
Capable of monitoring and analyzing fluid conditions across a network of manholes within a 200-meter range, offering a comprehensive view of pipeline conditions.
Sustainable and Cost-Efficient Solution:
Reduces operational costs and environmental impact by utilizing solar power and minimizing the need for manual inspections.
Scalable Design:
Demonstrated success in university-based projects, showcasing adaptability for larger municipal or industrial applications.
Real-Time Monitoring without Physical Access:
Detects and visualizes fluid conditions in real-time, even in hard-to-reach or hazardous locations, ensuring safety and operational efficiency.
Municipal sewage and drainage system monitoring.
Industrial fluid pipeline management.
Stormwater or irrigation system monitoring.
Remote pipeline condition assessment in hazardous or hard-to-reach areas.
This patent demonstrates a technological leap in pipeline fluid monitoring, offering a sustainable, efficient, and scalable solution that leverages real-time data for proactive decision-making. By addressing traditional challenges such as energy dependence, safety concerns, and manual labor, this system has the potential to revolutionize fluid monitoring in various industries.
This patent introduces an IoT-based solar composting attachment system designed to accelerate the waste-to-nutrient-rich soil conversion process. The system integrates solar power and IoT sensors with advanced machine learning algorithms to monitor, classify, and optimize composting conditions in real-time. This innovative system enhances composting efficiency and sustainability by detecting nutrient levels and classifying waste conversion stages.
The IoT-Based Solar Composting Attachments patent addresses the growing need for sustainable and efficient composting solutions. This system employs solar-powered IoT technology combined with machine learning models to optimize the composting process.
The system continuously monitors key parameters such as nutrient composition, temperature, humidity, and organic content in the waste. Using machine learning, it classifies the waste conversion stages into nutrient-rich soil, providing real-time feedback and recommendations to enhance the composting process.
This self-sustaining system, powered by integrated solar panels, operates in any environment without external energy sources, making it both cost-effective and eco-friendly.
Solar-Powered Operation:
Utilizes integrated solar panels to power the IoT sensors and machine learning framework, ensuring energy independence and sustainability.
IoT Sensor Integration:
Monitors critical composting parameters in real-time, including temperature, humidity, and nutrient levels, enabling precise control of the composting process.
Machine Learning for Waste Classification:
Classifies the waste-to-nutrient-rich soil conversion stages based on nutrient composition and other parameters, optimizing the composting timeline.
Real-Time Feedback:
Provides real-time data and recommendations to accelerate the composting process, reducing the time required for waste conversion.
Eco-Friendly and Scalable Design:
Offers a sustainable solution for both small-scale household composting and large-scale waste management applications.
Enhanced Nutrient Detection:
Capable of detecting nutrient levels in the waste, ensuring the production of high-quality compost.
Residential and commercial composting systems.
Agricultural waste management for nutrient recycling.
Large-scale municipal composting facilities.
Industrial composting solutions for organic waste processing.
This patent delivers a next-generation composting solution that leverages solar energy and IoT technology to optimize waste management practices. By reducing waste-to-soil conversion time and improving compost quality through machine learning, this innovation addresses key environmental challenges while promoting sustainable waste recycling practices.
This patent presents a hydraulic-based scaffolding prop system enhanced with advanced sensor integration for improved construction safety and adaptability. The system is designed to adjust scaffolding height dynamically based on project complexity and specific requirements, ensuring precise leveling and eliminating the limitations of traditional scaffolding methods. Its customizable and intelligent design enhances operational efficiency and worker safety on construction sites.
The Effective Scaffolding Prop for Construction Safety introduces a hydraulic-based design equipped with integrated sensors for real-time adjustments and monitoring. This system revolutionizes traditional scaffolding methods by offering smart leveling capabilities and height adjustment to match the complexity of various construction projects.
Sensors embedded in the system continuously monitor the structural stability and alignment of the scaffolding, ensuring optimal safety standards. The hydraulic mechanism enables seamless height adjustments with minimal manual intervention, accommodating intricate design requirements. The system’s customizable framework makes it suitable for diverse applications, ranging from small-scale projects to large, complex construction sites.
Hydraulic-Based Height Adjustment:
Allows precise and dynamic height adjustments, catering to the unique requirements of different construction projects.
Smart Leveling System:
Integrated sensors monitor and adjust scaffolding alignment in real-time, ensuring stability and safety.
Customizable Design:
Offers flexibility to adapt scaffolding configurations for projects of varying complexity and scale.
Enhanced Safety Features:
Monitors structural integrity through sensor data, providing alerts for any misalignments or potential hazards.
Automation and Efficiency:
Reduces reliance on manual adjustments, improving efficiency and minimizing human error in scaffolding setups.
Compatibility with Modern Construction:
Seamlessly integrates into advanced construction environments, supporting modern safety and operational standards.
High-rise building construction requiring dynamic height adjustments.
Complex construction sites with unique scaffolding requirements.
Infrastructure projects like bridges and tunnels requiring precise leveling.
Retrofitting projects with height and alignment challenges.
This patent introduces an innovative scaffolding solution that enhances safety, adaptability, and efficiency in construction projects. By integrating hydraulic mechanisms and smart sensors, this system addresses traditional limitations, offering a customizable and intelligent scaffolding solution that sets a new benchmark for construction safety.
This patent describes a method and composition for producing geopolymer concrete by utilizing construction waste as a primary raw material. The innovation emphasizes sustainable construction practices by replacing conventional cement with geopolymeric binders derived from industrial and construction by-products. The method involves specific proportions of construction waste, alkaline activators, and supplementary materials to achieve high mechanical strength, durability, and environmental benefits.
The Method and Composition of Geopolymer Concrete with Construction Waste aims to reduce environmental impact by recycling construction and demolition waste (CDW) into high-performance geopolymer concrete. This method combines construction waste with alkaline activators such as sodium hydroxide and sodium silicate to form a robust geopolymeric matrix.
The process involves:
Preparation of Construction Waste: Crushing and grinding construction waste into fine aggregates or powders suitable for geopolymerization.
Proportioning: Mixing construction waste with fly ash, slag, or other supplementary cementitious materials to enhance the binding properties.
Activation: Adding alkaline activators to initiate the geopolymeric reaction, resulting in the formation of a dense and durable binder.
Curing: Utilizing ambient or elevated temperature curing to achieve desired mechanical and durability properties.
The final product exhibits excellent compressive strength, low permeability, and resistance to chemical attacks, making it suitable for various construction applications.
Utilization of Construction Waste:
Transforms waste into a valuable resource, reducing landfill burden and promoting circular economy practices.
Alkaline Activation:
Employs geopolymer technology to replace cement, significantly lowering the carbon footprint.
Enhanced Performance:
Achieves high compressive strength, durability, and resistance to sulfate and chloride attacks, comparable or superior to conventional concrete.
Customizable Composition:
Offers flexibility in incorporating varying proportions of construction waste based on availability and project requirements.
Eco-Friendly Solution:
Minimizes cement usage, reduces greenhouse gas emissions, and promotes sustainable construction practices.
Structural concrete for buildings, roads, and bridges.
Precast geopolymer products such as blocks, tiles, and panels.
Infrastructure projects requiring durable and sustainable materials.
Retrofitting and rehabilitation of existing structures.
This patent demonstrates a sustainable and innovative approach to producing geopolymer concrete, addressing critical environmental challenges associated with construction waste and cement production. By integrating geopolymer technology with construction waste recycling, this invention paves the way for greener and more efficient construction materials.
This patent presents an innovative method and system for inhibiting corrosion through the application of coatings derived from botanical extracts, enhanced with machine learning (ML) to optimize the coating process. The system utilizes data-driven models to adapt coating formulations, application parameters, and environmental responsiveness in real-time, thereby accelerating development and improving corrosion resistance. This approach combines sustainable, eco-friendly practices with advanced technological solutions to deliver a scalable and efficient method for corrosion prevention across diverse industrial applications.
A method for corrosion inhibition using botanical extracts, comprising:
Preparing a botanical extract-based coating solution.
Employing machine learning algorithms to optimize the formulation and application parameters, including extract concentration, curing time, and coating thickness.
Applying the optimized coating to the target metal surface.
Monitoring the performance of the coating in real-time using sensor data integrated with the machine learning system.
A system for corrosion inhibition, comprising:
A database of experimental data for botanical extracts under various environmental conditions.
Machine learning models trained to predict corrosion resistance and optimize coating parameters.
A sensor network to monitor environmental variables and coating performance.
An adaptive feedback mechanism to dynamically adjust coating parameters based on real-time data.
The method of claim 1, wherein the machine learning model utilizes algorithms selected from Gradient Boosting, Random Forest, and Neural Networks to optimize corrosion resistance.
The system of claim 2, wherein the sensor network includes IoT-enabled sensors to measure environmental conditions such as pH, salinity, temperature, and humidity.
The method of claim 1, further comprising the integration of predictive analytics to determine reapplication intervals and maintenance requirements for the coating.
This patent describes a method and system that leverages botanical extracts as eco-friendly corrosion inhibitors, enhanced with machine learning optimization for precise control of the coating process. The innovation involves a multi-step process that integrates real-time data collection, predictive modeling, and dynamic parameter adjustments to improve the performance and efficiency of the corrosion inhibition system.
Process Overview
Extraction and Preparation:
Botanical extracts are prepared using optimized solvent extraction methods to ensure the maximum yield of active phytochemicals.
Data Collection:
Laboratory and field tests are conducted under varied conditions (e.g., acidic, saline, and humid environments) to build a comprehensive dataset.
Machine Learning Optimization:
A machine learning model is trained on the collected data to predict and optimize coating parameters such as concentration, thickness, and curing time.
Metaheuristic optimization algorithms like Genetic Algorithm (GA) or Bayesian Optimization are employed to fine-tune the ML model for specific environmental conditions.
Application and Monitoring:
The optimized coating is applied to metal surfaces, and IoT sensors monitor key variables like surface integrity, pH, and environmental conditions.
Real-time feedback is provided to dynamically adjust the coating process if required.
Predictive Analytics:
Predictive models are integrated to forecast reapplication schedules and ensure long-term protection.
Machine Learning Integration: First-time use of ML to optimize botanical extract-based coatings, enabling real-time parameter adjustments and accelerated development.
Dynamic Adaptability: The system adapts to environmental changes, ensuring consistent corrosion resistance across varied conditions.
Eco-Friendly Approach: Utilizes botanical extracts and minimizes environmental impact by replacing conventional chemical inhibitors.
Scalability: The method is applicable to diverse industries, including marine, automotive, and construction, with customization for specific use cases.
Industrial Equipment: Protection of pipelines, tanks, and machinery in corrosive environments.
Marine Infrastructure: Prevention of corrosion in ships and offshore platforms.
Construction: Enhancing durability of reinforced concrete and steel structures.
Automotive Sector: Coatings for vehicle components exposed to harsh environments.
This patent delivers a sustainable, technology-driven solution for corrosion inhibition that significantly enhances efficiency, adaptability, and environmental friendliness. Integrating machine learning optimization with botanical extracts represents a transformative approach to combating corrosion in modern industrial applications.
This patent introduces an automated sitting assembly specifically designed to enhance the comfort and usability for elderly individuals. The assembly integrates an adjustable seating mechanism equipped with smart sensors and automation to customize seating positions in real-time. The system allows for ergonomic adjustments such as seat height, backrest angle, and cushioning firmness, ensuring optimal comfort based on the user’s preferences and physical needs. The customizable and automated design promotes ease of use, safety, and independence for elderly individuals.
An automated sitting assembly comprising:
A seat base with adjustable height controlled by an integrated motorized mechanism.
A backrest capable of angular adjustments for lumbar support.
Smart sensors to detect user posture, weight distribution, and preferences.
An intuitive control interface for manual or automated adjustments.
The assembly of claim 1, wherein the system features cushioning adjustments to regulate firmness based on the user’s comfort level.
The assembly of claim 1, further comprising a memory function that stores the preferred seating configurations of individual users for quick recall.
A method for customizing the sitting assembly, including:
Sensing user input through pressure and motion sensors.
Adjusting seat height, backrest angle, and cushioning firmness using an automated control unit.
Providing real-time feedback on adjustments to ensure user satisfaction.
The assembly of claim 1, wherein the seating tool incorporates anti-slip materials and emergency stabilization features for added safety.
The assembly of claim 1, wherein the system integrates a mobile app or remote control for wireless operation and real-time customization.
The Automated Sitting Assembly for Elderly People is designed to address common challenges faced by elderly individuals, such as difficulty in sitting and standing, improper posture, and discomfort during prolonged use. The system combines smart sensing technology with automated adjustments to provide a customized seating experience.
Adjustable Height and Angles:
Motorized height adjustment ensures easy sitting and standing transitions.
Backrest angle can be customized to provide optimal lumbar and spinal support.
Smart Sensors:
Embedded sensors monitor the user’s posture and weight distribution in real-time.
Automatically adjusts to prevent discomfort and strain.
Customizable Cushioning:
Allows the user to modify the firmness of the seat cushioning based on individual comfort levels.
Memory Functionality:
Stores multiple user profiles for quick recall of personalized settings.
User Interface:
Simple interface with touch controls for manual adjustments.
Remote operation enabled through a mobile app or handheld device.
Safety Features:
Anti-slip base and emergency stabilization to prevent falls or tipping.
Automatic locking during height or angle adjustments.
Adaptive Design: Integrates sensors and automation to continuously adjust seating parameters in real-time based on user comfort and posture.
Customizable Features: Offers fully adjustable height, angles, and cushioning firmness, tailored to individual needs.
User-Friendly Technology: Wireless control through mobile apps enhances accessibility and convenience for elderly users.
Safety Integration: Anti-slip materials and stabilization features ensure safe operation, even for users with limited mobility.
Home Use: Comfortable and safe seating for elderly individuals in their living spaces.
Healthcare Facilities: Adjustable seating for patients in hospitals and nursing homes.
Public Spaces: Ergonomic seating for elderly users in parks, libraries, and waiting areas.
This patent provides a highly adaptable and user-centric solution for improving the quality of life of elderly individuals. By combining ergonomics, automation, and smart technology, the automated sitting assembly ensures comfort, independence, and safety, redefining seating solutions for the elderly.
This patent presents an efficient and optimized door stopper design that ensures reliable functionality and cost-effectiveness. The door stopper is engineered with an optimized shape to respond accurately to applied forces and maintain stability under varying conditions. Its innovative design offers enhanced durability, ease of installation, and compatibility with different door types, making it a low-cost yet highly effective solution for residential, commercial, and industrial applications.
A door stopper comprising:
An optimized shape designed to maximize stability and minimize material usage.
A responsive mechanism to hold the door in place securely under varying force conditions.
The door stopper of claim 1, wherein the shape includes:
A curved or sloped surface for gradual and precise contact with the door.
A non-slip base to maintain positioning on smooth or textured floors.
The door stopper of claim 1, further comprising a low-cost material composition such as high-strength polymers or metal alloys, ensuring durability and affordability.
A method for optimizing the shape of the door stopper, including:
Simulating force distribution and stress analysis for different shapes.
Selecting the most efficient design based on stability, material usage, and user convenience.
The door stopper of claim 1, wherein the device is adaptable for multiple door types, including heavy and lightweight doors.
The door stopper of claim 1, further comprising an optional attachment mechanism for fixed or semi-permanent installations.
This patent introduces a door stopper that combines an optimized geometric design with cost-effective manufacturing techniques. The innovation focuses on creating a product that is not only affordable but also adaptable to various environments, ensuring widespread applicability.
Optimized Design:
The shape is derived from stress and force simulations to ensure maximum stability with minimal material usage.
Material Efficiency:
Constructed from high-strength, lightweight materials such as polymers or alloys, balancing durability and affordability.
Non-Slip Base:
Features an anti-skid surface to ensure the door stopper remains in place on any floor type.
Universal Compatibility:
Can be used with doors of varying weights and sizes, making it a versatile solution.
Ease of Installation:
Simple placement or optional attachment mechanism for secure and user-friendly application.
Sustainability:
Designed with minimal material waste and recyclable components to reduce environmental impact.
Optimized Shape: The unique design ensures accurate force response and stability while minimizing material usage.
Affordable and Scalable: Manufactured with low-cost materials and processes, enabling mass production without compromising quality.
Enhanced Usability: Universally compatible with all door types and designed for easy setup and removal.
Residential Use: To secure doors in homes against movement caused by wind or accidental force.
Commercial and Industrial Spaces: For stabilizing heavier doors in offices, warehouses, and workshops.
Public Areas: Useful in high-traffic locations such as schools, hospitals, and libraries.
This patent introduces a highly efficient, low-cost door stopper design that combines optimized functionality with user convenience. Its adaptable and durable construction makes it a sustainable and widely applicable solution for diverse environments, redefining everyday utility with advanced design principles.
This patent introduces a galvanic approach to corrosion inhibition, employing innovative processes and mechanisms to protect metallic surfaces in corrosive environments. The invention explores the use of sacrificial anodes, hybrid coatings, and eco-friendly inhibitors as alternative methods to traditional techniques. These solutions effectively mitigate corrosion by leveraging galvanic principles, optimizing electrochemical properties, and reducing the environmental impact.
A method for metallic corrosion inhibition comprising:
Applying a sacrificial anode system to protect the metallic substrate from corrosion through galvanic action.
Coating the metallic surface with a hybrid inhibitor layer combining galvanic properties with passive barriers for enhanced protection.
The method of claim 1, wherein the sacrificial anodes are composed of materials such as zinc, magnesium, or aluminum alloys to ensure high electrochemical compatibility.
A hybrid coating system comprising:
A base layer with galvanic properties for active corrosion protection.
An eco-friendly, bio-based inhibitor layer to reduce environmental impact.
A process to enhance corrosion inhibition by optimizing the anode-to-cathode area ratio for specific environmental conditions, ensuring maximum efficiency.
The method of claim 1, further comprising the use of machine learning algorithms to predict corrosion rates and optimize the selection of galvanic materials and coating configurations.
This patent describes a galvanic-based corrosion inhibition approach that combines sacrificial anode systems, advanced coatings, and innovative eco-friendly alternatives. The invention focuses on achieving superior protection for metallic surfaces in diverse environments, including marine, industrial, and infrastructure settings.
Galvanic Mechanism
The process relies on galvanic action, wherein a sacrificial anode is strategically coupled with the protected metal. The anode corrodes preferentially, providing cathodic protection to the metallic substrate.
Sacrificial Anode Systems:
Deploy anodes made from zinc, magnesium, or aluminum alloys to provide cathodic protection.
Suitable for pipelines, marine vessels, and underground storage tanks.
Hybrid Coatings:
Utilize a multi-layer system with a galvanic underlayer and a passive inhibitor topcoat for dual protection.
Incorporate bio-based inhibitors derived from plant extracts to minimize environmental harm.
Electrochemical Inhibitors:
Develop coatings with self-repairing properties that release inhibitors when damage occurs, leveraging galvanic principles to halt corrosion locally.
Galvanized Composites:
Integrate sacrificial anode materials into structural components to provide distributed corrosion protection over large surfaces.
Smart Monitoring Systems:
Use IoT-enabled sensors to monitor corrosion activity in real-time and optimize inhibitor release or anode replacement schedules.
Predictive Modeling:
Implement AI/ML-based models to forecast corrosion progression and suggest timely interventions, ensuring efficient use of resources.
Galvanic-Driven Hybrid Systems: Combines the active protection of sacrificial anodes with passive barrier coatings for unparalleled durability.
Eco-Friendly Inhibitors: Introduces plant-based or biodegradable inhibitors to reduce reliance on synthetic chemicals.
Predictive Analytics Integration: Employs machine learning to optimize materials and configurations based on environmental data.
Real-Time Monitoring: Provides continuous feedback on corrosion rates, enabling proactive maintenance.
Marine and Offshore Structures: Ships, oil rigs, and underwater pipelines.
Industrial Equipment: Storage tanks, reactors, and machinery exposed to corrosive chemicals.
Infrastructure: Bridges, reinforced concrete, and metallic frameworks in urban environments.
Automotive and Aerospace: Protection of vehicle and aircraft components exposed to moisture and temperature extremes.
This patent introduces a sustainable and adaptive solution for metallic corrosion inhibition, leveraging galvanic principles and eco-friendly technologies. By integrating advanced coatings, predictive analytics, and real-time monitoring, this invention offers a versatile approach to combating corrosion across diverse industries, promoting durability and environmental sustainability.
This patent presents an automated sitting assembly designed for elderly individuals, featuring adjustable leg heights, ergonomic optimization, and smart sensing technology. The chair provides fully customizable seating positions, adapting to the user’s comfort and physical needs. Its innovative design includes motorized height adjustment for the legs, real-time backrest alignment sensing, and ergonomically optimized adjustments for maximum safety and ease of use. This unique system offers a blend of advanced technology and user-centric design, enhancing comfort and independence for elderly users.
An automated sitting assembly comprising:
A motorized mechanism to adjust the height of the chair legs individually or collectively.
A backrest equipped with smart sensors to detect posture and automatically adjust to ergonomic positions.
A control interface for manual adjustments or automated presets.
The assembly of claim 1, wherein the backrest sensing technology utilizes pressure sensors and motion detectors to provide real-time feedback for optimal alignment.
The sitting assembly of claim 1, further comprising an ergonomic adjustment system that customizes the seat’s inclination, cushioning, and lumbar support as per the user’s requirements.
The assembly of claim 1, wherein the system incorporates a memory function to save user-specific presets for height, backrest angle, and cushion firmness.
A method for real-time adjustment, including:
Detecting user posture through embedded sensors.
Activating the motorized mechanism to adjust the chair height and backrest angle dynamically.
The assembly of claim 1, wherein the system integrates IoT connectivity for remote control and monitoring via mobile applications or smart home systems.
The Automated Sitting Assembly with Adjustable Features for Elderly People is designed to address the unique physical and ergonomic needs of elderly individuals. This assembly combines advanced technology with user-focused design to ensure comfort, safety, and adaptability.
Key Features
Motorized Adjustable Legs:
Allows individual or collective adjustment of chair leg heights to cater to uneven surfaces or user preferences.
Enhances ease of sitting and standing for users with mobility challenges.
Smart Backrest Alignment:
Equipped with sensors to detect posture and align the backrest automatically for optimal lumbar support and ergonomic comfort.
Ergonomic Optimization:
Customizes the seating angle, cushioning firmness, and lumbar support for maximum comfort and health benefits.
User-Specific Memory Function:
Stores user preferences, enabling quick adjustments based on pre-saved configurations.
IoT Connectivity:
Offers remote control via smartphones or smart home systems for added convenience and integration into modern living environments.
Safety and Stability:
Anti-slip materials and stabilization features ensure safe usage across all adjustments.
Unique Adjustable Leg System: First-of-its-kind design that allows dynamic height adjustments for each leg, catering to uneven surfaces and specific user needs.
Smart Sensing Technology: Integrated sensors enable real-time detection and adjustment, providing a fully automated and personalized seating experience.
Ergonomically Optimized Design: Combines advanced adjustments with health-focused ergonomics, ensuring long-term comfort and safety.
IoT Integration: Enhances accessibility and functionality by enabling remote control and customization through digital devices.
Residential Use: Comfortable and adaptive seating for elderly individuals at home.
Healthcare Facilities: Adjustable chairs for patients in hospitals and nursing homes.
Public Spaces: Accessible seating solutions for elderly individuals in parks, libraries, and waiting areas.
Therapeutic Use: Customized seating for physical therapy and rehabilitation purposes.
This patent introduces a revolutionary sitting assembly tailored for elderly individuals, blending customizable adjustments, advanced sensing technology, and ergonomic optimization. Its unique features ensure comfort, independence, and adaptability, setting a new standard for seating solutions in both personal and institutional settings.