Vedanta Spark
Bharat Forge
Even though for most of the new product designs, we already have another similar part being manufactured, still the overall cycle time is very high and has no re-usable components. The current New Product Development process used by the partner is time consuming and is also not cost efficient. Currently, whenever a new product is designed, the consumer provides the company with required details such as design, dimensions etc. The current New Product Development process is time consuming as there is no base of any kind to build upon although they have the required information/data available, the cost increases along with the time taken for the development for a new product. Whenever a new product is being developed, 40% to 50% of the time can be reduced by building a base for this product by using available information from same or similar products that have been previously designed.
Despite having a repository of information and data from past product designs, the current NPD process lacks re-usability and efficiency. Each new product is designed from scratch, resulting in extended cycle times and increased costs. Bharat Forge is looking for an AI Algorithm that can access the previous data available to them and build a type of base to build upon to minimize the time and effort spent on the New Product Developmet process which automatically reduces the cost spent during the process.
The main unit contains huge mechanical presses. There is a critical need to reduce downtime and production losses associated with breakdowns in its mechanical presses. When a component fails, such as a Pitman crack, the rod crack, bull gear bearing failure, motor failure, or friction and misalignment issues, it not only results in substantial downtime but also disrupts production schedules. The component which is broken down takes a long time to be replaced which automatically leads to production loss. The mechanical press potrays certain features which indicate the break down such as change in temperature, pressure, force exerted etc. The company is in need of AI based algorithms that learn & analyzes the indicators and predicts a breakdown so the breakdown can be expected beforehand and prevented.
ELICO
Problem Statement: Indexing and Organizing Water Quality Data from Multiple Sources & Regions
Description:
Water monitoring projects involve collecting vast amounts of data from various sources and regions, making the task of indexing and organizing the data a significant challenge. To ensure efficient retrieval and analysis, there is a critical need for innovative solutions that automate the process of indexing water quality data. Such solutions should create standardized data formats, implement data management systems, and develop algorithms to identify patterns and anomalies in the data, enabling water management organizations to make data-driven decisions effectively.
We invite startups to propose solutions that address the following challenges:
a) Automated Data Indexing: Startups should present solutions that automatically index and categorize water quality data from multiple sources, ensuring easy accessibility and retrieval.
b) Structured Data Management: The proposed solution should implement a robust data management system that organizes the data in a structured manner, making it coherent and easily navigable.
Problem Statement: Intuitive Data Visualization and Self-Service Business Intelligence
Description:
Complex water quality data can be challenging for stakeholders to comprehend and act upon. To overcome this obstacle, there is a demand for startups to develop intuitive and user-friendly data visualization tools. These tools should enable stakeholders to explore and analyze water quality data effortlessly. Additionally, self-service business intelligence solutions will empower decision-makers with real-time access to relevant data, enhancing their ability to make informed decisions and drive operational improvements. Interactive dashboards, customizable reports, and data exploration capabilities are essential features of these tools.
We invite startups to propose solutions that address the following challenges:
a) User-Friendly Data Visualization: Startups should create data visualization tools that present water quality data in a visually appealing and understandable manner, facilitating quick and actionable insights.
b) Self-Service BI for Decision-Makers: The proposed solution should empower decision-makers with self-service business intelligence capabilities, allowing them to access relevant data and generate custom reports independently.
Problem Statement: Predictive Analysis for Proactive Water Quality Management
Description:
Predictive analysis is a powerful tool for forecasting future trends and potential risks in water quality. Startups can utilize machine learning and statistical modeling techniques to develop algorithms and models that predict changes in water quality based on various factors. These factors may include weather conditions, pollutant levels, and geographical parameters. Proactive predictive analytics solutions will assist water management organizations in identifying potential issues beforehand and taking preventive measures to ensure water quality and environmental protection.
We invite startups to propose solutions that address the following challenges:
a) Predictive Algorithm Development: Startups should develop sophisticated algorithms that leverage historical water quality data to predict future trends and potential risks accurately.
b) Proactive Risk Identification: The proposed solution should enable water management organizations to identify potential water quality issues proactively and implement preventive measures.
Problem Statement: Monitoring Physical Parameters for Poultry Health Assessment
Description:
ELICO, a leader in the agricultural industry, is dedicated to enhancing the well-being and productivity of poultry. As part of our commitment to animal welfare, we are seeking innovative startup solutions that enable the monitoring of physical parameters related to poultry health. By leveraging cutting-edge technologies such as sensors, imaging, and computer vision, we aim to gain comprehensive insights into poultry behavior and physical well-being. The ultimate goal is to ensure early detection of potential health issues, enabling timely intervention and proactive care.
We invite startups to propose solutions that address the following challenges:
a) Sensor Integration: Startups should develop solutions that integrate sensors capable of capturing relevant physical parameters in poultry. These may include movement patterns, feeding behavior, vocalizations, or other indicators of health and well-being.
b) Data Analysis and Interpretation: The proposed solution should include advanced data analysis techniques that interpret the collected physical parameters to provide actionable insights for poultry health assessment.
Problem Statement: Developing a Portable Sensor for Early and Non-Destructive Gender Characterization of Chicken Eggs
Description:
Elico, a pioneer in agricultural technology, is dedicated to improving the efficiency and sustainability of poultry hatcheries. As part of our commitment to animal welfare and optimal resource management, we are seeking groundbreaking startup solutions that can accurately and non-destructively determine the gender of chicken eggs at an early stage of development. The ultimate goal is to develop a portable sensor device capable of rapid gender characterization, ensuring the viability of eggs for successful hatching and effective poultry management.
We invite startups to propose solutions that address the following challenges:
a) Early Stage Gender Determination: Startups should develop innovative methods and technologies that can accurately identify the gender of chicken eggs at an early embryonic stage, ideally within the first few days of incubation.
b) Non-Destructive and Safe Process: The proposed sensor device should be non-invasive and non-destructive to the eggs, ensuring their viability and hatchability throughout the incubation period.
Problem Statement: Real-Time Monitoring for Hydroponics and Aeroponics Systems
Description:
ELICO, a leading agricultural technology company, is dedicated to enhancing plant growth and sustainability through hydroponics and aeroponics systems. As part of our commitment to precision agriculture, we are seeking innovative startup solutions that enable real-time monitoring of these systems. By leveraging cutting-edge technologies such as sensors, IoT devices, and automation, we aim to collect valuable data on key parameters like temperature, humidity, pH levels, nutrient quality, and water conditions. Real-time monitoring will enable immediate detection of any variations or issues in the growing environment, facilitating prompt adjustments and optimizing plant growth.
We invite startups to propose solutions that address the following challenges:
a) Sensor Integration: Startups should develop solutions that integrate sensors and IoT devices to monitor and collect real-time data on vital parameters within hydroponic and aeroponic systems.
b) Automated Adjustment: The proposed solution should offer automation capabilities, allowing growers to make timely adjustments to environmental factors and nutrient levels based on real-time data insights.
Problem Statement: Data Collection, Analysis, and Insights for Hydroponics and Aeroponics
Description:
Accurate and comprehensive data collection is paramount for optimizing hydroponic and aeroponic systems. ELICO seeks innovative startups to develop mechanisms and software platforms that gather and store data from multiple sources within the growing environment. This can include sensor data, nutrient solution composition, growth rates, and environmental conditions. Startups can also focus on developing analytics tools and algorithms that process and analyze the collected data, providing valuable insights to growers for informed decision-making and plant growth optimization.
We invite startups to propose solutions that address the following challenges:
a) Data Collection Mechanisms: Startups should develop efficient data collection mechanisms that collate and organize data from various sources within the hydroponic and aeroponic systems.
b) Data Analytics and Insights: The proposed solution should include advanced data analytics tools and algorithms that process the collected data to offer actionable insights for growers to optimize plant growth.
Problem Statement: Predictive Analysis for Sustainable Crop Growth
Description:
ELICO is interested in startups that can harness predictive analytics techniques to forecast plant growth, nutrient requirements, and potential issues in hydroponic and aeroponic systems. By leveraging historical data and machine learning models, startups can develop algorithms that predict optimal conditions for plant growth and sustainability. These predictive models will assist growers in making informed decisions about crop rotation, nutrient management, disease prevention, and system planning for long-term sustainability and maximum crop yield.
We invite startups to propose solutions that address the following challenges:
a) Predictive Modelling: Startups should develop advanced predictive models that forecast plant growth, nutrient needs, and potential challenges in hydroponic and aeroponic systems.
b) Decision Support: The proposed solution should offer decision support capabilities, providing growers with actionable recommendations based on predictive insights.
Problem Statement: Advancing Automatic Cruise Control in Advanced Driver Assistance Systems (ADAS)
Description:
TVS Sensing Solutions, a leading provider of advanced sensing technologies, is presenting an exciting challenge to startups: to advance the capabilities of automatic cruise control in Advanced Driver Assistance Systems (ADAS). Automatic cruise control, also known as adaptive cruise control, plays a crucial role in enhancing vehicle safety and comfort by maintaining a safe distance from the preceding vehicle and automatically adjusting the vehicle's speed. By addressing this challenge, startups have the opportunity to contribute to the development of cutting-edge ADAS technologies and redefine the future of autonomous driving.
We invite startups to propose solutions that address the following challenges:
a) Enhanced Performance: Startups should develop innovative solutions that enhance the performance of automatic cruise control in ADAS. This can include improvements in speed accuracy, responsiveness, and smoothness of acceleration and deceleration.
b) Intelligent Sensing: The proposed solutions should incorporate advanced sensing technologies, such as LiDAR, radar, and computer vision, to enable intelligent detection and tracking of the preceding vehicle and surrounding traffic conditions.
c) Safety and Reliability: Ensuring the safety and reliability of automatic cruise control is paramount. Startups should focus on developing fail-safe mechanisms, robust algorithms, and real-time decision-making capabilities to mitigate potential risks and ensure safe driving experiences.
TVS Sensing Solutions
Problem Statement: Advancing Fast Charging Capabilities for Electric Vehicle (EV) Batteries
Description:
TVS Sensing Solutions, a leading provider of advanced sensing technologies, is committed to driving the evolution of e-mobility and sustainable transportation. As the adoption of electric vehicles (EVs) continues to rise, the development of efficient and rapid charging infrastructure is critical to overcome range anxiety, promote widespread EV adoption, and accelerate the transition to a sustainable transportation ecosystem. By addressing this challenge, startups have the opportunity to revolutionize the fast charging capabilities of EV batteries, making electric mobility more accessible, efficient, and convenient for consumers worldwide.
We invite startups to propose solutions that address the following challenges:
a) Fast Charging Technology Innovation: Startups should develop innovative fast charging solutions that can significantly reduce charging times for EV batteries, enabling rapid charging without compromising battery health or safety.
b) Energy Management and Grid Integration: The proposed solution should consider energy management and grid integration aspects to ensure optimal utilization of power resources while facilitating high-speed charging for EVs.
Problem Statement: Leveraging Hydrogen Fuel Cells as Integrators for Advanced Sensing Applications
Description:
TVS Sensing Solutions, a leading provider of advanced sensing technologies, is embarking on an exciting journey to explore the potential of hydrogen fuel cells as integrators for sensing applications. We believe that the combination of hydrogen fuel cells and cutting-edge sensing technologies holds immense promise in various industries. By addressing this challenge, startups have the opportunity to revolutionize sensing capabilities, enabling enhanced monitoring, control, and data-driven decision-making across different sectors. Through innovative solutions, we aim to usher in a greener and more sustainable future while advancing the field of sensing technology.
We invite startups to propose solutions that address the following challenges:
a) Hydrogen Fuel Cell Integration: Startups should develop innovative methods to integrate hydrogen fuel cells with advanced sensing technologies. The proposed solutions should harness the power of fuel cells to provide reliable and sustainable energy to support sensing applications.
b) Multi-Industry Applications: The proposed solutions should have versatility and adaptability, catering to a diverse range of industries, including automotive, aerospace, renewable energy, healthcare, and smart infrastructure.
Problem Statement: Revolutionizing V2X Solutions through Advanced Sensing Technologies
Description:
TVS Sensing Solutions, a leading provider of advanced sensing technologies, is presenting an exciting challenge to startups to revolutionize V2X (Vehicle-to-Everything) solutions. V2X, encompassing 5G, home automation, AI, LiDAR, and radar, has the potential to transform transportation, creating safer, more efficient, and connected environments. By harnessing the power of cutting-edge sensing technologies, startups have the opportunity to redefine the way vehicles interact with their surroundings and enhance V2X applications across different industries. Through innovative solutions, we aim to shape the future of V2X and drive the transformation of transportation systems.
We invite startups to propose solutions that address the following challenges:
a) Advanced Sensing Technologies for V2X: Startups should develop innovative sensing technologies, such as LiDAR, radar, and AI-based systems, that optimize V2X applications. The proposed solutions should enable real-time data collection, analysis, and communication between vehicles, infrastructure, pedestrians, and other elements of the environment.
b) Scalability and Versatility: The proposed solutions should be scalable and adaptable to cater to diverse V2X applications across industries, including automotive, smart cities, logistics, and public transportation.
Problem Statement: Advancing Octa-drones with Cutting-edge Drone Controller and Motor Technologies
Description:
TVS Sensing Solutions, a leading provider of advanced sensing technologies, is inviting startups to take on an exciting challenge: to advance the capabilities of drone controllers and motors, with a specific focus on octa-drones. Octa-drones, equipped with eight motors and enhanced maneuverability, have the potential to revolutionize industries such as aerial photography, surveillance, logistics, and agriculture. By addressing this challenge, startups have the opportunity to contribute to the development of cutting-edge drone technologies and unlock new possibilities for diverse applications.
We invite startups to propose solutions that address the following challenges:
a) Enhanced Performance: Startups should develop innovative drone controller and motor solutions that significantly enhance the performance of octa-drones. This can include improved stability, increased payload capacity, extended flight range, and optimized power efficiency.
b) Precise Control: The proposed solutions should offer precise control mechanisms for octa-drones, ensuring smooth and stable flight maneuvers, even in challenging environments.
c) Industry-specific Applications: The solutions should cater to diverse industry applications, including aerial photography, surveillance, logistics, agriculture, and beyond, to maximize the potential of octa-drones in various sectors.
Problem Statement: Advancing Automatic Cruise Control in Advanced Driver Assistance Systems (ADAS)
Description:
TVS Sensing Solutions, a leading provider of advanced sensing technologies, is presenting an exciting challenge to startups: to advance the capabilities of automatic cruise control in Advanced Driver Assistance Systems (ADAS). Automatic cruise control, also known as adaptive cruise control, plays a crucial role in enhancing vehicle safety and comfort by maintaining a safe distance from the preceding vehicle and automatically adjusting the vehicle's speed. By addressing this challenge, startups have the opportunity to contribute to the development of cutting-edge ADAS technologies and redefine the future of autonomous driving.
We invite startups to propose solutions that address the following challenges:
a) Enhanced Performance: Startups should develop innovative solutions that enhance the performance of automatic cruise control in ADAS. This can include improvements in speed accuracy, responsiveness, and smoothness of acceleration and deceleration.
b) Intelligent Sensing: The proposed solutions should incorporate advanced sensing technologies, such as LiDAR, radar, and computer vision, to enable intelligent detection and tracking of the preceding vehicle and surrounding traffic conditions.
c) Safety and Reliability: Ensuring the safety and reliability of automatic cruise control is paramount. Startups should focus on developing fail-safe mechanisms, robust algorithms, and real-time decision-making capabilities to mitigate potential risks and ensure safe driving experiences.
