Artificial Intelligence based computer vision solution

    Biomass briquettes are a bio-fuel substitute to coal and charcoal. Biomass briquettes are mostly made of green waste and organic waste. They are commonly used for electricity generation, heat and cooking fuel. They are compressed compounds made of organic materials including rice husk, bagasse, ground nut shells, municipal solid waste, agricultural waste.

     The raw materials are gathered and compressed into briquette in order to burn longer and make transportation of the goods easier. Compared to fossil fuels, the briquettes produce low net total greenhouse gas emissions because the materials used are already a part of the Carbon cycle.

Manufacturing Process

    The raw materials are passed through the vibrating machine/Tumbler screening machine to separate the smaller particles from the larger ones and then the moisture content is removed using a dryer (using torrefaction, carbonization or pyrolysis). Then the particles are passed though the biomass briquette machine where the briquettes are produced.

FEATURES

Disadvantages of the machine without AI

  • Compaction- Some materials burn more efficiently if compacted at low pressures whereas some require higher amount of pressure to produce heat.
  • The cost is high and the production may not be as good

Solution using AI

        Based on the Initial Understanding of the Requirement, following solution can be proposed:

  • Briquette detection from the biomass briquette machine can be found out by using computer vision algorithms
  • The no. of briquettes produced can also be found for a given period of time
  • Overall Production in terms of Kg’s of Briquette produced can be provided

APPLICATION AREAS

  • Places where biomass briquettes are produced

Advantages

 

  • The production can be increased sufficiently
  • No human resource would be required to count the no. of briquettes or to continuously monitor the production