Renewable Design for Modular Belts P=1″ Belt Har 1000 non-skid to UAE Factories

Har 1000 non-skid     

Thickness: 10mm

Our company has been qualified with ISO 9001:2000 quality system. The product strictly complies with the standard and procedures of ISO 9001, which ensures good product quality. So our products have some advantages, for example:

1. Easy installation and maintenance
2. High mechanical strength and wear resistance
3. Low friction coefficient
4. Excellent product handling
5. High performance

We are a leading manufacturer of modular belts with professional team; we can provide you with excellent quality items. This kind of modular belt can be used in the following industries:
Beverage industry such as acceleration, depletive and accumulation.
Food industry such as cool off lines and pack lines.
Meat industry such as tray pack line and metal detectors.
Our products are mainly used in bakery industry including dough transport, cooling lines, internal transport, metal detectors and packaging lines
Seafood applications including tray packing lines
spiral applications as proofing and freezing of croissants, cooling and resting
Bakery applications including raw dough handling, cooling lines and packing lines
Fruit vegetable applications including elevators, inspection tables and packaging lines.

Abstract
Automatic inspection using machine vision

In industries where number of objects are made and packed, there is no mechanism to sort the defected objects from production. Normally the sorting is done manually. Manual sorting of defected objects is so difficult and time consuming. So sorting the defected objects automatically has become an important necessity of most of our industries. Automatic inspection of products is more efficient and time saving technique as compared to manual sorting.
There are number of methods to sort objects, but our concern was to sort objects on the base of their color. Usually in industries where different products are manufactured, each product has its own packaging, and definitely a unique color, so in our case the most accurate technique is to acquire images and to identify the color of each object. Images are taken by a camera then processed, and finally a decision is made, whether the object was blue, red, green or any other. If the object is green then it is placed in the green object section. Other colored objects are treated similarly.
Through this project we were able to learn how to acquire images by camera, process these images, recognize the color of object, and also how computers (Matlab) understand images. Moreover, interfacing of mechanical system with computer software was of our concern. Other mechanisms created in this project are timer circuits, conveyor belt system and to and fro motion control of DC motor to use it as a linear actuator.
Now the project is in working condition and automatically sorts the different objects on the basis of their colors. First the object is placed at desired location, Camera (as a sensor) detects whether the object is placed under it, then takes image and gives it to computer software (Matlab) that recognize the color of object and generates signal at parallel port of computer for further action. Then object is pushed on conveyor belt. Timer circuits hold the signal until the object reaches in front of desired actuator that pushes the object in its desired section.

Component used

1. Conveyor Belt.
2. DC motors (As linear actuator).
3. Camera (As sensor).
4. Computer.
5. Relays.
6. Transistors.
7. Capacitors.
8. Resistors.
9. Diodes.
10. Dc power supply.

Estimated Cost
45,000 PKR

Group Members
M . Zaeem Asif SP08-BEE-156
M . Tahir Iqbal SP08-BEE-071
M . Qamar-ud-din SP08-BEE-069