My current project is to interface a Digilient Atlys Xilinx FPGA board with an Aptina Image Sensor that Digilent also supplies, first I would like to put frame data into DDR3 frame buffer, then display out from frame buffer to HDMI monitor. My previous attempt with the Spartan3ADSP1800 starter board and an Aptina/Micron image sensor headboard failed since the sensor did not want to talk back (no ACK) signal coming from I2C interface when analyzed with a logic analyzer, I assume the problem could by the wiring and the voltage requirements of the headboard, I should have better luck with the Vmod sensor by Digilent
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.