Enterprise Application for the chemical industry | AI and ML solutions

Technology Stack

Problem Statement

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Collision risks: One of the main problems in forklift safety is the risk of collisions between forklifts and other vehicles, as well as between forklifts and pedestrians. This can cause injuries and damage to equipment.

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Blind spots: Forklifts have blind spots, which can make it difficult for operators to see other vehicles and pedestrians. This increases the risk of collisions.

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Fatigue: Operating a forklift for long periods of time can lead to operator fatigue, which can result in decreased reaction times and increased risk of accidents.

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Poorly maintained equipment:Forklifts that are not properly maintained can be more prone to accidents and breakdowns, which can create hazards for operators and other employees.

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Limited visibility: Forklifts often operate in poorly lit or crowded warehouses, which can limit visibility and increase the risk of collisions and accidents..

Solution Overview

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One of Australia's providers of vehicular interaction solutions approached OptiSol to develop a Pedestrian Avoidance System (PAS) in order to protect the staff and operators of forklifts from potential harm.

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Their traditional collision avoidance systems create high numbers of nuisance alerts, which leads to drivers ignoring alerts, which dilutes the value of the system.

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OptiSol designed a solution that uses Deep Learning to identify humans and calculates their risk in the proximity of forklifts.

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We used AI/ML to minimize false alarms by evaluating multiple danger factors around the vehicles through various AI/ML algorithms.

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Our designers also added enterprise features and management capabilities to the solution, notifying managers of incidents that would have gone unreported.

Business Impact

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Improved safety: AI-based pedestrian avoidance systems can help reduce the risk of collisions between forklifts and pedestrians, which can lead to fewer accidents, injuries and fatalities.

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Real-time monitoring: AI can provide real-time monitoring of the warehouse environment, which can help to detect potential hazards and alert operators to take action.

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Increased Efficiency: AI can help operators navigate through the warehouse more efficiently, reducing the risk of collisions and improving overall productivity.

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Cost savings: AI-based systems can help businesses save money by reducing the number of accidents and associated costs, such as lost time, legal fees, and insurance claims.

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Compliance: AI-based systems can help businesses comply with safety regulations, which can help avoid penalties and legal issues.

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Key Features

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Inventory Management

Whether you are in a single location or in a global organization, the solution allows you to harmonize your inventory. Integrated throughout the platform, accurate/real-time tracking and raw material exploration have never been easier
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Formulation

Centralize and standardize your design of the experiment. With AI & ML assisted formulation, make a better product… faster. User access controls and cloud-based security ensure your IP is safe and always accessible.
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Task Management

Plan, test, track, and report – all product development work is organized within the module ‘Tasks’. Task management can help individuals achieve project goals, or help groups collaborate and share knowledge.
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Collaboration

Collaboration is a key piece of accelerating innovation. In this platform, we work to bring collaboration features into every page of the application to ensure you can always communicate with subject matter experts or any other users
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Artificial Intelligence and Machine Learning

With all your data in one place, the platform can turn your data into insights. Leverage visualizations, custom reports, and predictive models to accelerate your innovation.
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EH&S Data

Streamline EH&S data and take the pain out of the regulatory processes. The platform facilitates tedious tasks such as SDS generation and label printing, managing hazard identification, and more.
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SOP Management

SOPs are no longer static documents. Embedded across this Platform, SOPs are used for every task and process – ensuring structured and consistent data is collected.
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Project Management

Have project data at your fingertips. With this platform, you can analyse project-specific metrics to ensure your project is on track.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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