FOOD PRODUCTS DEFILEMENT ANALYZER USING IOT
Journal Title: Journal of Materials and Engineering - Year 2023, Vol 1, Issue 1
Abstract
In order to make additional, quick profits, shopkeepers frequently adulterate food today. Foods are adulterated by adding things like ripening mangoes, chalk powder to turmeric, starch to curry powder, papaya seeds to black pepper, and other things. Adulteration is a common practise to increase profits, but it can have extremely harmful effects on people. The qualitative spectroscopic method offers a better way to identify the toxic components in milk and other things. The goal of this research is to develop a low-cost, portable, AI-based, non-destructive sensor system that can be used to detect the adulterant in real-time in order to solve this problem. The users can access a dedicated site with an Iot platform from anywhere to view the adulterant that has been found.In this study, the conductivity and pH meter methods were used to examine the food products in order to determine the degree of adulteration present.
Authors and Affiliations
M. Sakthivel, D. Buvisa, B. GokulaVani, M. Jeyapriya, R. Nithya Sri
Keywords
Related Articles
- EP ID EP727381
- DOI 10.61552/JEMIT.2023.01.004
- Views 40
- Downloads 1
Effect of Cross-Sectional Profile of Circular Dimples on Hydrodynamic Lubrication Characteristics of Thrust Bearings
The effects of three types of dimples with different internal structures on the fluid lubrication characteristics of thrust bearings were investigated. The load-carrying capacity and the frictional torque were measured....
The Modelling of Surface Roughness After the Turning of Inconel 601 by Using Artificial Neural Network
This research includes longitudinal turning of Inconel 601 in a dry environment with PVD coated cutting inserts. Turning was performed for different levels of cutting speeds, feeds, depth of cuts and corner radius. After...
QUALITY CONTROL IN THE MANUFACTURING INDUSTRY BASED ON THE APPLICATION OF COMPUTER VISION
Application of technologies based on information communication systems, internet networks, embedded systems, data storage in the cloud, computer vision, machine learning within manufacturing industry leads to a number of...
Artificial Intelligence Fuzzy Logic Modeling of Surface Roughness in Plasma Jet Cutting Process of Shipbuilding Aluminium Alloy 5083
In this paper the influence of different process parameters on surface roughness responses in plasma jet cutting process was investigated. Experimentations were conducted on shipbuilding aluminium 5083 sheet thickness 8...
Simulation of Mechanical Processes at the Contact Region of a Dental Implant with Bone Tissues Under Shock Wave Treatment
Dental implants are becoming an increasingly important part of modern dental treatment. Developing an optimal implant surface design can improve osseointegration. Promising to increase the rate of osseointegration is the...