Digital Transformation in Manufacturing

Initial steps and processes

• Data Capture is the first step in Drishti's three-step process.

• Traditional time and motion studies suffered from a lack of scalability and accuracy due to the limited number of observations.

• Blurring faces and masking sensitive data prevents privacy infringement during video capture.

• Automated data generation during the Data Creation Step includes time stamps, timestamps, and spatial coordinates.

• Computer Vision helps Drishti improve time and motion studies by analyzing video recordings.

• Action Recognition Technology from Drishti identifies and categorizes actions in video footage.

• Drishti integrates with software tools like Tableau, Qlik Sense, and Power BI.

Manufacturing Industry Focus

• Drishti's products for manufacturing feature automated error detection and feedback.

• Drishti's software offers the capability for real-time monitoring and analysis of the manufacturing process.

• Non-technical personnel can effectively use Drishti's software products without extensive technical training.

• Drishti's Trace product provides detailed product traceability and lineage tracking.

• Drishti's integrated product offers comprehensive insights and actionable data for manufacturing professionals.

AI and Data-Drive Insights

• AI plays a crucial role in Drishti's offerings by analyzing video data, allowing for identification of patterns and anomalies.

• Data generated by Drishti's products helps improve efficiency, optimize processes, and reduce errors.

• Observing all employees' actions traditionally was difficult, leading to inaccuracies and incomplete data.

• Drishti's video-based AI analytics provide actionable insights and data visualization for manufacturing personnel.

• Computer vision's primary function in manufacturing is to interpret visual information from the environment.

• The year 2012 saw significant progress in data-driven programming, driven by the development of deep learning techniques.

Impact and Innovation

• Drishti Technologies aimed to reshape the manufacturing industry by introducing data-driven insights and eliminating subjective analysis.

• AI technologies significantly impacted traditional manufacturing organizations, enabling process optimization and efficiency improvements.

• An airbag factory in Mexico reported a 10% throughput improvement after using Drishti's technologies.

Target industries and impact

• Drishti Technologies Inc. serves various industries, including automotive, aerospace, and electronics.

• Modern manufacturing processes are compared to the innovations of Henry Ford and others, highlighting the shift from manual labor to data-driven automation.

• DENSO's key driver for value from Drishti's Trace product was improved traceability and reduced product defects.

• Increased accessibility of processing power has made AI technologies more readily available to manufacturers.

• Drishti's services helped achieve a 50% reduction in training time for new associates.

Historical Context and Modern advancements

• Prior to modern advancements, the significant historical contributors to manufacturing efficiency included scientific management principles, lean manufacturing techniques, and Six Sigma methodologies.

• Data can influence decision-making in manufacturing by identifying patterns, trends, and opportunities for improvement.

• DENSO achieved a 10% reduction in defect rates using Drishti's systems.

• Drishti's Flow product's faster Kaizen processes were possible due to real-time data visualization and anomaly detection.

• Drishti's Assist product played a role in optimizing operational processes by providing insights and guidance.

• Traceability, a feature offered by Drishti's systems, provides several benefits, including improved quality control, reduced rework, and enhanced customer satisfaction.

Early Stages and Expansion

• Drishti's initial valuation was primarily based on its potential to revolutionize manufacturing processes through data-driven insights.

• Customizing solutions for each customer was a challenge for Drishti, requiring adapting software to specific needs and workflows.

• Important questions considered during the sales cycle at Drishti included understanding the customer's pain points, business goals, and technical infrastructure.

• Drishti developed its frameworks and strategies primarily through a methodology called "lean startup," emphasizing experimentation and customer feedback.

• Akella focused Drishti's early investments and attention on the manufacturing industry, recognizing its potential for transformation.

• While providing a configurable solution, Drishti needs to ensure that the software meets the customer's specific requirements and integrates seamlessly with existing systems.

• Drishti's sales cycle mainly operates through a process of understanding the customer's needs, demonstrating the value proposition of its products, and then customizing the solution.

• Before expanding its customer base, Drishti needed to ensure that its products met the specific needs of the targeted industries.

Product Functionality and Benefits

• Flow's primary function in manufacturing is to monitor and analyze the process flow, identify deviations, and provide insights for improvement.

• Assist improves in-cycle activities within manufacturing by providing real-time guidance and support to operators, helping them perform tasks more efficiently and accurately.

• Bolt provides an advantage in manufacturing operations by streamlining data collection and analysis, enabling more informed decision-making.

• Standardized work in a manufacturing environment serves to establish consistent procedures and best practices, improving efficiency and reducing variability.

• Drishti's cloud-to-on-premises continuum offers flexibility in deployment, scalability, and security, allowing for optimal customization for different environments.

• Flow helps managers regarding deviations in physical movement by providing detailed information and visualization, enabling immediate action and corrective measures.

• AI plays a crucial role in enhancing human efforts by analyzing data, providing insights, and assisting in decision-making, allowing humans to focus on more strategic tasks.

• Drishti's key feature as a SaaS vendor is providing a flexible and accessible solution that can be easily scaled and customized to the needs of various customers.