Development of grain sorting algorithm in a flow with simultaneous determination of rate of each weevil
$250-750 USD
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Αναρτήθηκε περίπου 11 χρόνια πριν
$250-750 USD
Πληρωμή κατά την παράδοση
Specification
Development of grain sorting algorithm in a flow with simultaneous determination of rate of each weevil.
The algorithm must determine the number of defective dots (pixels) inside the grain and remove seeds that do not meet pre-defined criteria: if the number of defective pixels greater than a given, it is considered defective grains. In this case, the algorithm must determine the contour of each weevil and calculate the optimal point on the path, which then have to direct the flow of air from the pneumatic valve, if this proves to be defective weevil.
From the linear image sensor to signal processor (DSP) come line (frame) image stream falling on sloping trough grains. Horizontal Frequency sensor about 4500 per second. Thus, each object is formed in DSP line. The processor DSP frames come in a monochromatic color grayscale 14 bits (16384).
Requirements:
1. The input data of the algorithm: The threshold (or region) to determine the brightness of defective pixels threshold (or region) to determine the brightness of the circuit grains, the number of defective pixels, and the parameter (or parameters) to ignore the possible dust in the flow of grain, other arbitrary parameters if necessary .
2. The algorithm should be linked to the processor DSP: ADSP-BF561 from Analog Devices. Data come from the image sensor to the parallel port PPI0 with 14-bit word length.
3. The processor must be able to process the flow lines image sensor with a frequency of at least 4500 lines per second and with a certain flow of grains (see attached photos). The number of pixels in a linear image sensor is 2048.
4. The algorithm should be able to simultaneously determine the velocity of each weevil for precise removal of defective grains (objects).
The accompanying (for example) displayed photographs stream grains (sunflower) with a small number of different contaminants (light objects). File size 2048x1000. The frame rate of 5000 per second. Accordingly, the 1000 lines - is 200 milliseconds. Gray scale is reduced to 8 bits.
Dear Sir,
We are Reserach and Development company whose working area are :
-Digital Motor Control
-Analog Design
-Electronic Design
-Power Electronics
-PCB design
-Embedded system
-Matlab
-Simulation of hardware
For each concept descriptions are as follows:
Digital Motor Control:
-3-phase induction motor vector control drive
-Flux estimation algoritm generation
-DSP(TMS320) implementation on motor drive
-Low speed application
-Torque and speed loop generation
-Control algoritms
Analog design
-Low power distribution
-Noissless special opamp based analog circuits
-Analog filters
-Orcad simulation of several circuits
Electronic Design
-RF transmitter and receiver
-Bluetooh reader and transmitter
-Magnetic reader
Power Electronics
-Implementation motor drive
-AC/DC converter
-DC-DC converter
-Battery charger
-Solar inverter
-Renewable Energy simulations
-Uninterruptle power supplies
PCB design
-Schematic design by Altium
-PCB design by Altium
-Power board design
-SMPS board design
Embedded system
-PIC18,PIC24,PIC30 and dsPIC applications
-Ardino
-MSP430
-Atmel
-DSP(Texas Instruments)
-Renesas
Matlab
-Power Electronics simulation
-Motor drive
-Wind Energy
-Solar Energy
-Control applications
Simulation of Hardware
-Orcad Simulation(TI,National, Linear Tech, Maxim libraries)
-LTI
-National
-Matlab
Very important Note: References attached. Please look excel file to see projects which we made until now!
Metin
Each grain and weevil will be detected using image processing of the DSP sensor data. The data will be built into a rolling frame in memory at a rate of 5000, 2048 pixel lines per second. Sequential snapshots (perhaps 1" of travel, determining the speed of the transport) of this data will be analyzed to identify the contour and location of the grain and defective grain.
Once the individuals are located and identified as the grain and weevil, the location and flow direction of the weevils is provided for the positioning of the pneumatic jet. The computation will use perspective to correct for foreshortening of the sloping trough transport then calculate the position, direction and speed of the defectives. Input of the sensor data will be from a the DSP through a parallel port and formed into 8 bit gray scale pixels, with one line being 2048 pixels. The DSP chip I/O has control signals that would be hardwired to the parallel port. Control of the chip I/O would be based on the ADSP-BF561 specs. Implementation using C++ will provide the required functionality. Actual sensor data will be used to simulate the parallel port input stream and perfect the algorithm.
Sensor data can be recorded on a DVD or DL DVD.
I have developed Machine Vision software for an automatic IC inspection machine and am familiar with image processing and machine control programming.