Sensors are critical to every new automotive design, whether created for a driver or self-driving. Frame rates and resolution for car, truck, and SUV imaging systems continue to rise. Getting data from each sensor to a location in the vehicle with sufficient processing power may be challenging, especially when AI inference algorithms… Read More
CEO Interview: Ashraf Takla of Mixel
Ashraf Takla is Founder and CEO of Mixel Inc., which he founded in 1998 and is headquartered in San Jose, CA. Mixel is a leading provider of mixed-signal IPs and offers a wide portfolio of high-performance mixed-signal connectivity IP solutions. Mixel’s mixed-signal portfolio includes PHYs and SerDes, such as MIPI D-PHY, MIPI… Read More
MIPI D-PHY IP brings images on-chip for AI inference
Edge AI inference is getting more and more attention as demand grows for AI processing across an increasing number of diverse applications, including those requiring low-power chips in a wide range of consumer and enterprise-class devices. Much of the focus has been on optimizing the neural network processing engine for these… Read More
MIPI bridging DSI-2 and CSI-2 Interfaces with an FPGA
We’re so spoiled by 4K and 8K and frame rates of 120 Hz or higher video content on high-performance devices that now, many of us expect these higher resolutions and rates on even small devices. The necessary interfaces exist in MIPI Display Serial Interface 2 (DSI-2) and Camera Serial Interface 2 (CSI-2). The challenge is these interfaces… Read More
MIPI in the Car – Transport From Sensors to Compute
I’ve written on and off about sensors, ML inference of the output of those sensors and the application of both in modern cars. Neither ADAS nor autonomous/semi-autonomous driving would be possible without these. But until now I have never covered the transport between sensors and the compute that safely turns what they produce… Read More
A MIPI CSI-2/MIPI D-PHY Solution for AI Edge Devices
In late September, the MIPI Alliance held their DevCon conference as a virtual event. There were several excellent presentations at the conference. One of those was titled “A MIPI CSI-2/MIPI D-PHY Solution for AI Edge Devices” by Ashraf Takla of Mixel. Looking at the daily volume of technology news about applications moving to… Read More
FD-SOI Offers Refreshing Performance and Flexibility for Mobile Applications
SoC designers often have to make a, “red pill or blue pill,” decision when it comes to selecting process technology. Usually, a choice has to be made between performance, power and area, with one being prioritized at the expense of the others. However, as is pointed out in a recent paper by Mixel and NXP, designers can have the best … Read More
New Processor Helps Move Inference to the Edge
Many of the most compelling applications for Artificial Intelligence (AI) and Machine Learning (ML) are found on mobile devices and when looking at the market size in that arena, it is clear that this is an attractive segment. Because of this, we can expect to see many consumer devices having low power requirements at the edge with… Read More
Mixel Makes Major Move on MIPI D-PHY v2.5
The MIPI Alliance has been running hard since 2003 to stay on top of the changes in the mobile industry. MIPI now has 250 member companies and 12 active working groups, all focused on creating standards for connecting the building blocks in mobile systems. MIPI based interfaces are now used in cars, drones, IoT devices, and of course… Read More
MIPI gaining traction in vehicle ADAS and ADS
I am old enough to remember when cars did not come with air conditioning unless you purchased it as an option. Of course, now you can’t even find a car that doesn’t come with air conditioning. So, it goes with Advanced driver assistance systems (ADAS). They are becoming more and more common and will certainly become baseline features… Read More