Session 6 Drishti Technology

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Questions and Answers

What percentage of throughput improvement was reported by an airbag factory using Drishti's technology?

30%

10%

20% (correct)

50%

Which of the following industries does Drishti NOT serve?

Medical devices

Construction (correct)

Electronics

Automotive

What was a key driver of Drishti's Trace product value for DENSO?

Global supply chain management

Collaboration tools and video sharing (correct)

Cost reduction strategies

Advanced robotics integration

Which of the following benefits was NOT associated with Drishti's Assist product?

Increased process variability Signup and view all the answers

What reduction in defect rates did Drishti's solutions achieve for an electronics contract manufacturer?

30% Signup and view all the answers

How did DENSO aim to improve its processes through Drishti's technology?

By achieving significant process gains Signup and view all the answers

What advantage does Drishti's Flow product provide in manufacturing processes?

Identification of bottlenecks Signup and view all the answers

Within how many weeks did customers report significant ROI using Drishti's solutions?

10 weeks Signup and view all the answers

What percentage of the nation’s growth was attributed to manufacturing productivity from 1990 to 2017?

20% Signup and view all the answers

What was a significant challenge in traditional quality improvement methods in manufacturing?

They were often misinterpreted and poorly executed. Signup and view all the answers

Why might quality engineers struggle to address product-specific defects?

Quality engineers could not identify specific products easily. Signup and view all the answers

What proportion of factory tasks were performed by humans in 2018?

72% Signup and view all the answers

What approach did manufacturers traditionally take to manage human errors?

Implementing continuous improvements and standardized work. Signup and view all the answers

What was a major barrier to adopting digital automation in manufacturing during the early 2000s?

High costs of IoT equipment and maintenance. Signup and view all the answers

What issue was highlighted regarding robots in manufacturing?

The production capacity of robots lagged behind demand. Signup and view all the answers

Which aspect of traditional sampling was criticized in relation to analytics?

It lacked specificity in deriving insights. Signup and view all the answers

What was one of the impacts of using Drishti’s line variability and trend charts at HELLA?

Increased productivity by 5% Signup and view all the answers

What advantage does Drishti provide in relation to human and machine performance?

Combining human intelligence with machine speed. Signup and view all the answers

What primary issue did Drishti address in its first customer dialogues with Flex and DENSO?

Identifying existing problems to be solved Signup and view all the answers

How did Drishti assist associates while they were on the station?

Provided immediate feedback for issue resolution Signup and view all the answers

What is the role of daily insights reports used by HELLA’s production teams?

To recognize, confirm, and prioritize actions Signup and view all the answers

What was the effect of implementing Drishti across HELLA's global plants?

Increased overall productivity and efficiency Signup and view all the answers

What fundamental aspect did DENSO’s vice president Raja Shembekar highlight regarding human and machine abilities?

Humans are smart but slow, while machines are fast but lack intelligence. Signup and view all the answers

What kind of innovations did Drishti focus on while collaborating with its initial customers?

White space innovations addressing unrecognized needs Signup and view all the answers

What was the primary basis for Drishti's valuation in its early stages?

Growth Signup and view all the answers

Which aspect was crucial for Drishti before expanding its customer base?

Understanding customer and technical support requirements Signup and view all the answers

What kind of process did Drishti's team use to tackle initial customer questions?

Collaborative exploration Signup and view all the answers

What challenge did Akella face while developing Drishti's technology?

Balancing customization with a consistent foundation Signup and view all the answers

What was a primary focus of traditional operating line process evaluation in manufacturing?

Monitoring key business metrics Signup and view all the answers

Which of the following methods were employed to improve manufacturing metrics?

Visual management systems Signup and view all the answers

How did Drishti approach the incorporation of new features and services into the product pricing?

By assessing feature importance after customer discussions Signup and view all the answers

What was the primary focus of Akella's investment in Drishti's first two years?

Development of core product technology Signup and view all the answers

What contributed significantly to the improvement of manufacturing processes?

Employee training programs Signup and view all the answers

Why was the development of Drishti's core technology complex?

It needed some level of personalization for each customer Signup and view all the answers

Which of the following does NOT represent a common key business metric in traditional manufacturing?

Worker satisfaction Signup and view all the answers

What was a limitation of traditional operating line process evaluation?

Dependence on hand-generated data Signup and view all the answers

What did Drishti need to avoid in order to scale effectively?

Complete customization for every customer Signup and view all the answers

Which method was NOT mentioned as a tool for improving manufacturing processes?

Employee performance reviews Signup and view all the answers

What was a characteristic feature of many traditional factories regarding workforce management?

Hundreds of employees at various stations Signup and view all the answers

What does 'rework' refer to in the context of manufacturing processes?

Correcting defective products Signup and view all the answers

What key insight did Elon Musk express regarding automation at Tesla?

Excessive automation was a personal mistake. Signup and view all the answers

Which organization published data on the trends in manufacturing productivity from 1990 to 2019?

U.S. Bureau of Labor Statistics Signup and view all the answers

What does the ImageNet project primarily focus on?

Image classification and recognition Signup and view all the answers

How does AI enhance the Toyota Production System according to industry insights?

Through improved quality control and efficiency. Signup and view all the answers

What market segment is explored in the report titled 'Collaborative Robot Market'?

Human-robot collaboration Signup and view all the answers

Which company is referred to as a Tier 1 manufacturer, with substantial revenue in the auto sector?

DENSO Signup and view all the answers

What type of analytics does Drishti provide for DENSO's manual assembly lines?

AI video analytics and traceability Signup and view all the answers

What challenge is highlighted regarding the implementation of excessive automation?

It might undermine the effectiveness of human workers. Signup and view all the answers

Study Notes

Drishti Technologies Inc.

Drishti Technologies uses computer vision, AI, and video analytics to improve business processes.
Digital technologies are transforming businesses, with advancements in process automation, embedded intelligence, and real-time data analytics.
Examples of this include personalized suggestions for online shoppers, fraud detection in finance, personalized treatment predictions in healthcare, and tailored advertisements in marketing.
Businesses are increasingly using big data and AI to build predictive algorithms for more efficient processes.

Traditional Operating Line Process Evaluation Limitations

Traditional methods rely on employee-generated charts and dashboards for key performance metrics like efficiency, quality, safety, productivity, rework, and throughput.
It's difficult to monitor every aspect of the process in real time with traditional methods.
Traditional sampling is not always specific enough to derive insights.
Robots have limitations due to human error in manufacturing.

Computer Vision in Manufacturing

Computer vision gives increased levels of transparency in manufacturing.
This technology interprets visual inputs with the functionality of the human eye.
The use of computer vision technologies has surged since 2012, particularly with the increase in the availability of on-premise and cloud processing.
Drishti Technologies pioneered the use of computer vision, AI, and machine learning for production improvement and efficiency.

Drishti Technologies Founding

Founded in 2016 by Prasad Akella in Palo Alto, California, Drishti uses computer vision to capture and analyze manufacturing processes.
The company's technology aims to enhance efficiency and productivity in manual manufacturing settings.
Drishti captures and annotates video of operations using multiple cameras.
Drishti's technology offers three core capabilities: recording what just happened, what's happening now, and how operations can be improved.
Drishti's technology is designed to streamline manufacturing processes and improve efficiency.
Drishti worked with companies like Flex and DENSO.

Drishti's Goals and Products

Drishti Technologies seeks to enhance manufacturing industries by augmenting human capabilities.
Drishti aims for diversity in customer types and usage applications and rapid growth based on its core technologies.
Drishti's products include software and services like:
- Trace: Live streaming, instant replay, and video-sharing capabilities for better visualization and collaboration. It also tracks product characteristics and the process for a product.
- Flow: Automated cycle identification and tracking. It allows continuous monitoring and analysis for improvements.
- Assist: Identifies actions & deviations from Standardized Work to improve efficiency.
- Bolt: An AI-powered system for handling manufacturing tasks to minimize human error and costs.

Customer Value

Drishti served 25 global customers across automotive, medical devices, and electronics industries in October 2022.
Examples include achieving a 20% throughput improvement, a 50% reduction in Kaizen duration, and a 50% decrease in defect rates.
The company reported significant ROI in as little as 10 weeks.

Business Model Choices

Drishti's business model prioritizes understanding customer requirements and capabilities before expanding its customer base.
Drishti develops its products through iterative development alongside initial customers.
The valuation of Drishti is based on growth rather than profitability in its initial stages.
The company prioritized development of core capabilities and applications for its future expansion and profitability.

Drishti's Vision

Drishti's vision is to continue expanding its core technology capabilities to serve a broader range of customers and industries.
The company desires to diversify its customer base and rapidly grow its revenue.

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Description

Test your knowledge on Drishti's innovative technologies and their impact on manufacturing processes. This quiz covers aspects of throughput improvement, defect reduction, and ROI associated with Drishti's products in various industries. Understand how these advancements shape manufacturing productivity and quality.