Remote Food Measurement System

About
The key to the success of a restaurant chain is an impeccable reputation. When ordering food at a chain restaurant, the customer expects to get a dish with a familiar taste and appearance.

That is why the kitchen of such restaurants looks like production lines at large factories. Each step of the cooking process must take a certain amount of time, and each product must have the exact same weight. To achieve this, restaurants need to constantly monitor all stages of the kitchen workflow — from pre-preparation to serving.

Frame Case study

Challenge

The key to the success of a restaurant chain is an impeccable reputation. When ordering food at a chain restaurant, the customer expects to get a dish with a familiar taste and appearance.

That is why the kitchen of such restaurants looks like production lines at large factories. Each step of the cooking process must take a certain amount of time, and each product must have the exact same weight. To achieve this, restaurants need to constantly monitor all stages of the kitchen workflow — from pre-preparation to serving.

Since manual tracking is extremely time and effort-consuming, there’s an urgent need for a system that would keep an eye on the cooking process to ensure the ideal quantity and quality of the final product.

Solution

Softarex has designed a Remote Food Measurement System that accurately measures the weight of homogeneous products using video cameras in real time.

The platform consists of:

  • An iPad application for restaurant operations;
  • A real-time video stream system based on an industrial PC;
  • A cloud-based web application for data collection and analysis.
Softarex’s Remote Food Measurement System provides the following features:
  • Automatic food type detection — once a container with food is placed under 3D cameras, the system automatically detects its content and identifies its type.
  • Product weight measurement — 3D cameras can measure the weight of the identified product in real time with 95% accuracy.
  • Containers tracking — monitoring food containers’ movements throughout the kitchen areas.
  • Time tracking — ensuring food containers stay in the preparation zone for a required amount of time by using counters and alerts for each container that are set either automatically once a container is detected in a particular place, or manually.
  • Data collection and analysis — collecting data on restaurant food waste and generating kitchen forecasts.
  • Scalability — the system can cover a chain of more than 2,000 restaurants, maintaining a high level of performance and productivity.
Softarex has provided a tech support team to help our Сustomer speed up the deployment process and create an IT infrastructure that meets the requirements of the developed system.
This is a custom solution
Does it look like it may be a good fit for you? Contact us, and we’ll build a custom solution tailored specifically to your business needs.
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Project Results

The Remote Food Measurement System developed by Softarex produced the following results for chain restaurant owners:

  • The system has revealed that over 30% of food ends up being never served per week;
  • Fully automated cooking process monitoring;
  • More informed kitchen decisions based on real-time data collection and analysis;
  • Optimized kitchen workflow;
  • Reduced costs.

Technical challenges

  • Development of software that can accurately identify, track and classify objects in the video stream in real time.
project results challenges swiper slide image 0

Selected Projects Overview

Our experts

We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.

Softarex is a one-stop-shop, providing all services needed to make your project a success.

Maxim

Maxim

System Architect and Delivery Manager

In over 10 years of my professional career, I have developed, architected, and managed dozens of projects for the Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT industries. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

I managed the development of a Computer vision-based kitchen management system for a large restaurant chain. We did a great job on this project, and I ‌consider it the highlight of my career.

Maxim 1

Maxim

System Architect and Delivery Manager

Maxim 2

Maxim

System Architect and Delivery Manager

In over 10 years of my professional career, I have developed, architected, and managed dozens of projects for the Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT industries. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

I managed the development of a Computer vision-based kitchen management system for a large restaurant chain. We did a great job on this project, and I ‌consider it the highlight of my career.

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Technology domains

Restaurants
AI
Cloud Solutions
Computer vision
Deep Learning
Machine Learning
Neural networks