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What is Drishti?

Drishti is transforming manual assembly processes by harnessing AI and video technologies to close a long-standing data divide. For the first time, businesses can significantly improve quality, productivity, and training on an extensive scale. Drishti aims to boost human capabilities in an increasingly automated environment. By employing sophisticated AI-based video analytics and traceability, manufacturers obtain essential insights that can dramatically accelerate enhancements in their manual assembly operations. Through the use of Drishti, organizations experience authentic digital transformation, leading to substantial improvements in quality, cost savings, efficiency, and expedited training for assembly line workers. Moreover, team members on the line gain from Drishti’s solutions, enabling them to execute their responsibilities with improved consistency and effectiveness, which raises their contributions on the production floor. The technology captures comprehensive video and data from every task at each assembly line station. The Drishti Portal equips engineers, trainers, quality assurance personnel, team leaders, and line operators with the tools to convert this enhanced visibility into swift, effective actions that optimize overall performance. This collaborative strategy not only strengthens individual roles but also nurtures a culture of ongoing improvement throughout the entire manufacturing ecosystem. By continuously refining processes, manufacturers can stay competitive in a rapidly evolving industry landscape.

What is Bosch Essential Video Analytics?

Bosch's Essential Video Analytics 6.60 serves as the go-to option for effective video surveillance analytics, specifically designed for small to medium-sized businesses, large retail spaces, commercial real estate, and logistics hubs. The software proficiently detects, follows, and assesses moving objects while effectively reducing false alarms caused by non-relevant elements in the video feed. It features sophisticated functions such as tracking multiple line crossings, spotting loitering behaviors, estimating crowd sizes, and counting people. Users have the ability to create object filters based on various characteristics like dimensions, speed, direction, aspect ratio, and color. For cameras that are properly calibrated, the system can automatically recognize different types of objects, including standing people, various vehicles such as cars and bicycles, as well as larger trucks. In addition, Essential Video Analytics 6.60 improves user interaction with enhanced setup processes by offering default scenarios and allowing users to combine alarm fields within its interface. It also guarantees that all object data collected is stored, enabling users to adjust detection parameters after an event for thorough forensic investigations. This level of adaptability not only enhances security measures but also significantly boosts operational efficiency across diverse settings. Ultimately, it is a pivotal asset for any organization aiming to optimize their surveillance capabilities.

Media

Media

Integrations Supported

Google Cloud Platform

Integrations Supported

StarWind HyperConverged Appliance Video
SureView

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Drishti

Date Founded

2017

Company Location

United States

Company Website

drishti.com

Company Facts

Organization Name

Bosch

Date Founded

1886

Company Location

Germany

Company Website

commerce.boschsecurity.com/us/en/Essential-Video-Analytics/p/F.01U.363.063/

Categories and Features

Connected Worker

Not specified

Video Analytics

Not specified

Categories and Features

Video Analytics

Not specified

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