Vision Intelligence Based Vehicle Tracking |Portland

Business Impact

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The use of AI and IoT systems to monitor vehicles has become popular among construction industries and fleet owners as they can get all the information needed on a single screen.

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One of the critical factors many industries are seeking vehicle tracking systems are for real-time monitoring, fuel management in vehicles, and drive safety and time management that in turn improves productivity and efficiency

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This innovative fleet tracking platform allows you to discover patterns of vehicle movements as well as how much time each vehicle spends at different locations.

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The application will be scheduled to run in a cloud environment and the user will be provided a web app to access the logged information.

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Insights gained by logging vehicle activity will shed light on variations, fluctuations, and trends in vehicle movements over the course of days, weeks, months, etc. This data can be represented graphically as well as tabularly.

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Leveraging vision analytics to improve productivity, categorize vehicle usage based on their types and identify anomalies in detected patterns.

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Technology Stack

Solution Approach

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The use case covers monitoring and logging of the vehicles used in the industry sector such as trucks.

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Vehicles are uniquely identified based on their license plates. If the vehicles in question are different physically then object tracking can also be used for identification.

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The platform works with multiple real-time data and records unique vehicle identifiers, timestamps of arrival, duration spent at different locations of interest, etc.

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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5yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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