Automotive

How Embedl's Model Optimization SDK is Revolutionizing the Automotive Industry

The automotive industry is known for its competitiveness and for being a cost-sensitive environment. Every company that wants to thrive in this market needs to be extremely careful with how they spend their resources. Moreover, the automotive industry is at the forefront of pioneering advanced safety critical functions, all running on the most cost-efficient hardware available.
To remain profitable and competitive, every cent counts, and that's why companies are always looking for ways to reduce the cost of their manufacturing process. In this regard, Embedl's Model Optimization SDK is transforming the way companies operate in the automotive industry.


What is Embedl's Model Optimization SDK?
Embedl's Model Optimization SDK is a tool used to reduce the required compute power, memory size, and power consumption in next-gen safety and convenience systems. This, in turn, reduces the unit cost of manufacturing these systems, giving companies a competitive edge in the market.
But Embedl's Model Optimization SDK is not just about cost reduction. It's also about minimizing the time spent by engineers on optimization and maintenance. With this tool, engineers can focus on building state-of-the-art models and be more flexible when it comes to what SoC (System on a Chip) to use.


How Embedl's Model Optimization SDK Works
Embedl's Model Optimization SDK uses advanced algorithms to analyze your model's performance on your target hardware and identify areas where improvements can be made.
The tool then generates an optimized version of the model that is smaller in size and requires less compute power and memory. This optimized version can then be used to run the system on a more cost-efficient hardware platform.

 

OEM


The Benefits of Embedl's Model Optimization SDK
Embedl's Model Optimization SDK offers several benefits to companies in the automotive industry. These benefits include:

  1. Cost Reduction: By reducing the size of the model and reducing the power consumption and memory usage of the system, Embedl's Model Optimization SDK helps reduce the unit cost of manufacturing next-gen safety and convenience systems.
  2. Faster Time to Market: With Embedl's Model Optimization SDK, engineers can focus on building state-of-the-art models and be more flexible when it comes to what SoC to use. This, in turn, helps reduce the time to market for new products.
  3. Improved System Performance: By optimizing the code and reducing the size of the model, Embedl's Model Optimization SDK can improve the overall performance of the system, making it more efficient and reliable.
  4. Reduced Maintenance: With Embedl's Model Optimization SDK, engineers will spend less time on optimization and maintenance and more time building state-of-the-art models.


The Future of Embedl's Model Optimization SDK in the Automotive Industry
As the automotive industry continues to push the boundaries of safety and convenience systems the need for more efficient and cost-effective solutions will only increase. Especially as the functionality finds it’s way down into the midrange segment. Embedl's Model Optimization SDK helps our customers to stay at the forefront of providing these solutions.
With its advanced algorithms and innovative approach, Embedl's Model Optimization SDK is set to revolutionize the way companies operate in the automotive industry. By reducing the cost of manufacturing, improving system performance, and reducing maintenance, Embedl's Model Optimization SDK is helping companies stay competitive in a tough market.

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FASTER EXECUTION

By using state-of-the-art methods for optimizing Deep Neural Networks, we can achieve a significant decrease in execution time and help you reach your real time requirements.

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LESS
ENERGY USAGE

Energy is a scarce resource in embedded systems and our optimizer can achieve an order of magnitude reduction in energy consumption for the Deep Learning model execution.

 

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SMALLER
FOOTPRINT IN DEVICE
The Embedl Optimization Engine automatically reduces the number of weights , and thus size of the model, to make it suitable to be deployed to resource constraint environments such as embedded systems.
 
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IMPROVED
PRODUCT MARGINS

By optimizing the Deep Learning model, cheaper hardware can be sourced that still meets your system requirements leading to improved product margins.

 

 

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SHORTER
TIME-TO-MARKET
The tools are fully automatic, which reduces the need for time consuming experimentation and thus shorter time-to-market. It also frees up your data scientists to focus on their core problems.
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DECREASED
PROJECT RISK

Optimizing and deploying our customers’ Deep Learning models to embedded systems is what we do. By outsourcing this to us, your team can then focus on your core problems.

 

benefits

FASTER EXECUTION

FASTER
EXECUTION

By using state-of-the-art methods for optimizing Deep Neural Networks, we can achieve a significant decrease in execution time and help you reach your real time requirements.

SMALLER FOOTPRINT IN DEVICE

SMALLER
FOOTPRINT IN DEVICE

The Embedl Optimization Engine automatically reduces the number of weights , and thus size of the model, to make it suitable to be deployed to resource constraint environments such as embedded systems

SHORTER TIME-TO-MARKET

SHORTER
TIME-TO-MARKET

The tools are fully automatic, which reduces the need for time consuming experimentation and thus shorter time-to-market. It also frees up your data scientists to focus on their core problems.

LESS ENERGY USAGE

LESS
ENERGY USAGE

Energy is a scarce resource in embedded systems and our optimizer can achieve an order of magnitude reduction in energy consumption for the Deep Learning model execution.

IMPROVED PRODUCT MARGINS

IMPROVED
PRODUCT MARGINS

By optimizing the Deep Learning model, cheaper hardware can be sourced that still meets your system requirements leading to improved product margins.

DECREASED PROJECT RISK

DECREASED
PROJECT RISK

Optimizing and deploying our customers’ Deep Learning models to embedded systems is what we do. By outsourcing this to us, your team can then focus on your core problems.

Want to find out more?  Our award winning Deep Learning Optimization Engine optimizes your Deep  Learning model for deployment BOOK A DEMO