Strengthened ecosystem for advanced auto and consumer and IoT applications

Update: April 20, 2023

Cadence Design Systems, Inc has welcomed Kudan and to the Tensilica software partner ecosystem, acquiring industry-leading SLAM and AI ISP solutions to Cadence Tensilica Vision DSPs and AI platforms. The wide Tensilica Vision and AI software ecosystem includes over 50 partners creating solutions for these platforms, covering automotive, IoT, smartphone apps, software services, and many other segments.

“To best address our customers’ design challenges, it’s important to approach solutions holistically. From a hardware standpoint, ongoing innovations in Tensilica IP and architecture are critical for continued momentum with leading smartphone manufacturers and providers of IoT systems and next-generation connected vehicles,” said Amol Borkar, director of product management, marketing and business development for Tensilica Vision and AI DSPs at Cadence. “A robust software ecosystem is also essential, and partnering with industry leaders like Kudan and helps us bring cutting-edge SLAM and AI ISP solutions to run efficiently on Tensilica IP-based devices with the best power-performance envelope yet.”

Kudan is a visual odometry and an early implementer of SLAM algorithms. SLAM is a technique many camera or sensor-based systems employ to determine one’s position and orientation in an environment with high precision. While rather complex, SLAM is executed in many household products, including robot vacuum cleaners and AR/VR devices, and in more complicated systems, such as self-driving vehicles and self-navigating drones. The company’s proprietary SLAM implementation on the Tensilica Vision Q7 DSP delivered a 10X performance improvement for the front-end feature extraction stages, offering nearly 15% speedup of the overall SLAM pipeline compared to CPU-based implementations.

“We’re very excited about our partnership with Cadence and the opportunity to work with the Tensilica platform to accelerate Kudan’s SLAM pipeline,” said Juan Wee, CEO at Kudan USA. “Cadence’s Tensilica Vision DSPs provide specialised instructions that optimise various stages of the SLAM algorithm, delivering significant gains with power savings to the end customer. We look forward to improving the accessibility and adoption of our SLAM solution together.”

In the majority of systems with an image or video functionality, the set of ISP functions is well established and commonly provided as a hardware block, providing high-performance throughput but no flexibility or adaptability to current conditions.’s novel approach utilises AI to substitute conventional ‘hardwired’ ISP functions, allowing high-quality videos to be created in real-time, even in the most difficult lighting conditions. Its efficient AI-ISP will enable customers to implement a camera pipeline with resolutions greater than full HD while operating at over 30fps on the Tensilica NNA110 accelerator.

“At, we have developed a method of using AI to dramatically improve image quality in real-time, particularly in the most challenging lighting conditions,” said Oren Debbi, CEO of “For this technology to reach its true potential, there is a need for fast and efficient neural network computations. Joining Cadence’s Tensilica ecosystem will help ensure that our customers have a very competitive solution that runs on some of the most efficient vision and AI platforms out of the box.”

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