The Role Played by Vehicle Perception Sensing in ADAS Applications

As the automotive industry increasingly moves towards autonomous driving (AD), the role of embedded vision in advanced driver assistance systems (ADAS) is evolving. Original equipment manufacturers (OEMs) need to prepare for the move from assisted to automated systems.That presents technical challenges for engineers in developing ADAS and AD solutions.

 

In this article, we’ll look at how vehicle perception sensors are driving automation.

We'll also consider some of the challenges that lie ahead.

How Sensors and Embedded Systems Enable ADAS

Ongoing advances in sensor technology are integral to the goal of increasing road safety. How? ADAS features are built on data from sensors. They use it to warn drivers of safety risks as well as intervene to prevent accidents. Some vehicles combine ADAS with the infotainment system to provide drivers with a view of their surroundings.

ADAS relies on embedded systems throughout the vehicle. Cameras, radio detection and ranging (RADAR), light detection and ranging (LiDAR), and ultrasonic transducers all have roles in gathering the data. Global Navigation System Satellite (GNSS) and Inertial Measurement Units (IMUs) provide additional inputs. The challenge is to interpret the data in real-time from embedded vision to enable the system to intervene.

To that end, modern ADAS needs higher computing power and memory to process the multiple data streams. New technologies have developed in the past year to advance state-of-the-art vehicle perception. These systems use GPU, FPGA or custom ASIC within the electronic control units (ECUs) to efficiently manipulate computer graphics and image processing and handle large volumes of data in real time.

ECUs are the brain controlling automotive sensor fusion. In what way? The ADAS controller fuses data from the different sensors to make decisions. Information-based systems use different cameras to alert the driver to hazards with blind-spot, lane departure, and collision warnings, while radar and other sensors at different levels help map the environment and take action.

The Evolution of Sensors in ADAS

The Society of Automotive Engineers (SAE) standards document, SAE J3016, is a good reference that defines the levels of driving automation systems for on-road motor vehicles. The levels of driving automation are defined based on the specific role played by each of the three main performance actors: the user (human), the driving automation system, and other vehicle systems and components. Levels 1, 2 and 3 require the presence of a human driver. At these levels, the human driver and the car's automation system are expected to work hand in hand while driving. Levels 4 and 5 refer to true self-driving cars with artificial intelligence (AI) and no human assistance required while driving.

The latest generation of vehicles is moving beyond Level 0-2 autonomy that provides driver support, including warnings and brief assistance like blind spot warning, automatic emergency braking as well as lane centering and adaptive cruise control.

Levels 3-4 advance to automated driving features, which can take control of the vehicle under specific conditions. ECUs use embedded vision to enable vehicles to make safety decisions instantly. How? Input from sensors, maps, and real-time traffic data allows ECUs to anticipate road issues ahead.

With more sensors built into the vehicle, the system can combine historical and real-time data about road conditions. This allows it to not only inform the driver but to act. Deep learning computer vision algorithms are used to train neural network models. These models are trained and refined continually using road scenes and simulators. Real-time inference uses these models in real-time to detect, classify and track objects like bikes and pedestrians in the vehicle's field of view. The system then has enough information about the driver and its surroundings to take control, whether to avoid a hazard or simply provide automatic parking.

As vehicles already benefit from a wide variety of 4G-enabled services for the driver and passengers, driver assistance systems can also be seen as a gateway to fully autonomous driving with the implementation of 5G and real-time connectivity to complement advanced on-board sensors (RADAR, LIDAR, cameras).

There is still work to be done to achieve full autonomy and the implementation of a Level 5 self-driving car. Changes in sensor positioning and integration will be incremental as these technologies advance and costs decrease.

The Challenges of Combining Sensors and Technologies in Vehicle Development

The vehicles we can buy today are becoming smarter and safer and are equipped with the three main types of sensors - cameras, RADAR or LiDAR. With these sensors coupled with a powerful computer system, the vehicle can map, understand, and navigate the environment around it safely. Every sensor has their pros and cons. What are the fundamental differences between these three types of sensors? Let's take a look.

Cameras

Although the cameras detect Red Green Blue (RGB) information and offer extremely high resolution, they lack depth information, speed perception and can be blinded by sunlight. They also require significantly more computing power and must be combined with radar and lidar sensors as a complementary technology to optimize the analysis of all data.

RADAR

Commonly also associated with cameras, RADAR can help reduce the number of video frames needed for the vehicle to detect the hazard and respond. It offers advantages in speed and object detection, as well as perception around objects and the ability to operate in bad weather. But it does not have enough precision to identify whether an object is a pedestrian, car, or another object.

LiDAR

Placed throughout the vehicle, LiDAR complements the cameras and radar to provide 360˚ coverage and the ability to achieve very fine and accurate detection of objects in space. But LiDAR does not have resolution comparable to that of a 2D camera, and has limitations in poor weather conditions. In addition, it does not detect colors or interpret text to identify, for example, traffic lights or signs. Cost is also an issue for the integration of LiDAR solutions to advanced driver assistance systems. The emergence of efficient and innovative solutions recently has paved the way for affordable solutions to bring high resolution 3D imaging to the automotive industry.

Fundamental differences between LIDAR, RADAR and VISION

 

GNSS

Beyond cameras, RADAR, and LiDAR, other systems play an important role that can help address the ADAS safety development challenges. A fully autonomous vehicle must have an accurate localization solution. Ground data, mobile mapping, and accurate real-time positioning are essential. High-precision GNSS technology, provides the accuracy, availability, and reliability, that a vehicle requires to be self-driving.

The combination of technology such as: RADAR, LiDAR and cameras with GNSS solutions are certainly the best way to deliver the positioning performance required by Level 4 and 5 autonomous vehicles.

The Future of Embedded Systems in ADAS.

Most vehicles produced in the world are equipped with some level of driving automation and ADAS is one of the fastest growing segments of automotive electronics. To remain competitive, development teams must have the experience to deliver high-quality solutions with minimal risk, while understanding sensor technologies so that the vehicle can fully respond to its environment and provide an enhanced user experience.

At Orthogone we have the expertise that can help to develop a safe and smart vehicle.

We partner with automotive manufacturers and suppliers to design high-performance systems and we understand the growing challenge around the use of embedded systems in ADAS.

Contact us today to learn how you can partner with Orthogone for your automotive embedded systems project.

What You Need to Know About Embedded Systems in Medical Applications

The rapid adoption of artificial intelligence (AI) and Internet of Things (IoT) devices is transforming the industrial landscape. The trend is only beginning. There is a revolution underway in the advance of mobile communications, smart cities, connected transport, advanced manufacturing, and connected healthcare. The advent of 5G networks enables the use of new types of devices and high volumes of data transfer.

In healthcare, this is changing the development of electronic medical devices design. How? The convergence of IoT with embedded systems is creating new applications that will change the face of patient care. The rise of chronic illnesses and aging populations are changing the approaches to health services. Diseases like heart attacks, cancer, and diabetes kill 41 million people globally every year. That accounts for 71% of all deaths. How can medical electronics help?

Let's look at the use of embedded systems in medical applications.

We'll then go on to see how you can navigate this growing field.

 

How Embedded Systems Are Changing Healthcare

Embedded systems in healthcare are not a new concept. They are part of larger operating systems that track vital signs, amplify sounds, and run imaging scans. Magnetic resonance imaging (MRI), X-ray scanners, and pulse oximeters have long been used in medical treatment.

But the adoption of IoT is increasing the use of advanced portable devices. One way to control chronic illnesses is to focus on reducing the risk factors. Investing in managing these diseases by detecting, screening, and treating them early is critical.

Where do embedded systems come in? They can track patients as they go about their daily lives and provide insights into their symptoms. Glucose monitors, pacemakers, and connected inhalers are now given to patients to manage their conditions. Wearable biosensors can detect the early onset of illness. And smart watches that track exercise, sleep patterns, and vital signs are becoming popular among consumers.

Advances in semiconductor technology have increased the complexity of embedded systems. This creates new possibilities for patient care. Devices are now small enough to be worn as jewelry or implanted under the skin. They use little power, so they require only small batteries. This makes new forms of treatment a reality.

 

How do embedded systems work?

Embedded Systems in Electronic Medical Devices Design

The use of portable devices comes at a time when the COVID-19 pandemic has accelerated the adoption of telemedicine. Over 42% of Americans have used telehealth during the pandemic. That led to a 6,000% increase in claims in the summer of 2020.

During lockdowns, these devices have allowed doctors to check on patients remotely, make diagnoses, and recommend treatment. They have also helped to solve a lack of available healthcare in remote areas.

Here are five ways that medical and IoT devices enable new applications:

1. Connected Inhalers

Smart inhalers can help track medication and provide alerts when the patient needs to take a dose. Connected apps can guide patients on how they use the inhaler and offer insights like allergen forecasts. Sensors can track the patient's breathing and alert their doctor if there are problems. The doctor can then adjust their treatment as necessary.  

2. Glucose Monitors and Pumps

Patches or implants that contain smart sensors can measure blood glucose painlessly. Patients no longer have to prick their finger or have blood drawn to test their glucose levels. Insulin delivery systems deliver a continuous flow of insulin using an automatic pump.

This makes it easier for a patient to manage their disease at home and take better control of their health. They can avoid extreme blood sugar highs and lows, reducing the burden on the healthcare system.

3. Fitness Trackers

Smart watches no longer only count steps. They can collect a variety of biomedical data from heart rate to calorie intake and loss, water consumption, and sleep patterns. Some technologies use sensors that send microcurrents through the body to measure a patient's health.

4. Smart Hospital Beds

Embedded sensor apps in smart beds can continuously track a patient's vital signs and alert healthcare staff if there are changes. This can help them respond to emergencies immediately and achieve better outcomes. Smart beds can also adjust to the most comfortable position for the patient.

5. Preventive Care

Doctors are expanding their focus beyond emergency care to deal with the needs of aging populations. Medical devices that track a patient's vital signs can identify potential illnesses as they develop. Doctors can intervene early, helping to prevent chronic conditions. This reduces hospital admissions and leads to better use of resources.

In embedded systems, it is important for the hardware and software to work together. Medical devices need specific software to process and analyze the data they collect. The software needs to track and control a growing range of devices, wearables, and other biomedical equipment. The hardware must be robust and reliable.

The devices must deliver data clearly for doctors and patients to interpret. They also need to be checked regularly to ensure the sensors work as they should.

 

The Future of Medical and IoT Devices

The next generation of electronic medical devices design is emerging that will take healthcare to the next level. For example, wearable devices can inject a patient with medication based on their individual medical condition.

The electronic and embedded software for medical devices is becoming ever more complex. It is also essential that IoT devices keep the personal data they collect secure to protect patient privacy.

Development teams must have the right experience to deliver high-quality solutions with minimal risk, while meeting the highest medical certification standards.

At Orthogone we have the expertise that can help.

Our teams can work with you to innovate with confidence. Our developers can bring their advanced technology expertise to your team, saving time and training. This allows your team to focus on your strengths and expand your development capacity.

Contact us today to learn how you can partner with Orthogone for your embedded systems project.

6 powerful benefits of partnering with a leading software development company

As software solutions have become increasingly complex, innovation teams need specific technical expertise. Partnering with a leading software development company is a popular strategy that offers many benefits for high-tech companies.

The mckinsey.com article Improving the management of complex business partnerships  states, “Companies regularly seek partners with complementary capabilities to gain access to new markets and channels, share intellectual property or infrastructure, or reduce risk. The more complex the business environment becomes—for instance, as new technologies emerge or as innovation cycles get faster—the more such relationships make sense.”

In this article, we’ll explore how a top software development partnership offers these 6 benefits:

  1. Accelerate time to market for product development while limiting development costs
  2. Access specialized expertise and technologies while having the opportunity to eventually transfer them internally
  3. Increase the development capacity of software teams without having to go through hiring cycles
  4. Use different perspectives and ideas to find solutions to the toughest challenges 
  5. Reinforce project controls and reduce risk
  6. Allow your team to stay focused on your core business

 

1. Accelerate time to market for product development while limiting development costs

Speed to market and return on investment are the key ways that partnerships make financial sense.  Missing the window of opportunity to launch a new solution on the market or not being able to produce a working demo in a specified timeframe can mean failure for a once-promising idea. The time and cost investment needed to hire and train people to be proficient in a new technology often does not make financial sense when compared with using a strategic partnership.

The hbr.org article, Joint Ventures and Partnerships in a Downturn says, “Companies will need every tool they’ve got to survive the downturn and rev up their businesses as the economy rights itself…At many firms, joint ventures and partnerships will play an outsize role in those efforts, both as a vehicle for sharing costs and reducing capital needs during the crisis and as a way to position themselves for growth once it ends.”

 

2. Access specialized expertise and technologies while having the opportunity to eventually transfer them internally

Companies working in transformation industries often don’t have all the expertise they need to stay competitive.  This is normal, and common. In some cases, it wouldn’t be possible to develop all the required expertise internally from scratch.

Acquiring new expertise and staying current with the latest technologies takes time, and shouldn’t be rushed.  By working with partners that already have the required expertise, companies can quickly access expertise/technology for use in the design of new products and other purposes. At the same time, the company can assimilate the expertise/technology internally at a reasonable pace.

In our article Find the Technical Expertise Needed to Drive Innovation in Software Product Development we cover a range of industries fueling demand for high-tech solutions, and the 8 essential areas of technical expertise. The article states that, “With so much cross-fertilization among technologies used in different industries, many high-tech companies are joining forces with leading partners.”

Technical teams at software development companies work on a range of projects for multiple companies in different industries, inspiring creative thinking.  As well, software development companies excel at recognizing and implementing best practices across projects to improve communication, teamwork, and achieve the best results. 

In a partnership, the teams work together, so even if a technology is new for your internal team, they’ll be exposed to it with guidance from more experienced personnel. Teaching and knowledge transfer can also be purposefully built in to the schedule.

 

3. Increase the development capacity of software teams without having to go through hiring cycles

Keeping an in in-house technical team up-to-date with the latest technology required to drive innovation can be an overwhelming undertaking for human resources as well as management. Recruiting and retaining technical talent is a serious challenge for companies of all sizes.

Turnover is also a serious risk, particularly for people with technical expertise.  By relying on partnerships to acquire additional technical expertise, your internal teams can take on big projects and meet tight deadlines without draining company resources.

 

4. Use different perspectives and ideas to find solutions to the toughest challenges

Even the best, most innovative in-house teams can develop tunnel vision. Bringing in a team of outside experts helps to stimulate creativity and open up new possibilities for finding solutions. 

Not only does an outside team bring new ideas to the table, they offer different perspectives, experiences, and even ways of thinking or “cognitive” diversity. According to the article Diversity and Inclusion Build High-Performance Teams from gartner.com, “In addition to a mixture of age, gender, and cultural backgrounds, CIOs need to also look for ‘cognitive’ diversity, which is mixing people together with different thinking styles, habits and perspectives... Having diversity of thought can be what saves a team from groupthink and allows it to achieve better outcomes.” 

Working with an outside team is an excellent opportunity to combine the strengths of each party. A partnership can refine and improve development processes, introduce and strengthen best practices, and increase coding and quality standards.

 

5. Reinforce project controls and reduce risk

When working with a partner, the project must be well-defined, with agreed-upon roles, responsibilities, deadlines, and deliverables. Input from the partner can help identify areas of the project plan that need strengthening, and point out opportunities for improvement early in the process. 

Partnership reduces the dangerous risk of rigidity, and allows design and development teams to stay flexible, which is crucial for successful results. When developing innovative solutions, adding people in-house can make it more difficult to pivot when needed. The hbr.org article Start Stopping Faster recommends, “Avoid premature scaling — hiring too many people, building too much capacity, doing too much marketing — before key assumptions have been validated.”

By partnering with an outside team of developers, you can explore innovative ideas and make needed changes faster without investing in in-house technical talent up front.

 

6. Keep your team focused on your core business

A critical decision that must be made by technology leaders is defining what technology is and is not part of their core business. For example, an automotive company may be comfortable outsourcing entertainment system technology to allow in-house teams to develop other areas of innovation that give the company its competitive edge. 

For new and evolving technologies, partnerships may make sense for core areas of innovation when the technology is so new that finding experts is difficult, and when a product or solution is still in the experimental stage.  Forming a long-term partnership with a respected, reputable software development company can be an ideal solution for companies that frequently need specialized expertise for innovation. 

To learn more about how a strategic software development partnership could help your team do more, contact us.

8 areas of high-tech expertise where strategic partnerships drive innovative software product development

Software and data are transforming the world. Innovation is no longer simply a way for a company to differentiate itself. To stay competitive, software development companies must integrate innovation into their DNA.

In the TechCrunch article Eduardo Saverin on the 'world of innovation past Silicon Valley', Saverin says, "If you think about it, the past few decades have been about the rise of the consumer internet. The next few decades will be about how you’re going to bring digital transformation to large traditional industries."

Competition between high-tech companies is increasingly fierce, both to be first to market with innovative solutions, and to find the talent to design and develop these solutions. In this article we present a brief look at how different industries are fueling the demand for innovative solutions, the technical expertise needed to drive innovative software development, and how to use strategic partnerships to provide needed expertise.

Topics covered:

Digital transformation in multiple industries is fueling the demand for innovative software solutions

8 essential areas of high-tech expertise

  1. Embedded software & systems
  2. Internet of Things (connected devices)
  3. Edge computing
  4. Wireless
  5. Networking & communication protocols
  6. Digital Signal Processing
  7. Security Systems
  8. Machine Learning and Data science

Strategic partnerships drive innovative software product development
Identify the best candidates to partner with for software development
What to expect from a top software development company

For more information about strategic partnerships, see 6 powerful benefits of software development partnerships

Digital transformation in multiple industries is fueling the demand for innovative software solutions

The advent of specialized semiconductors and software solutions has created drastic changes in the last few years in many industries:

The ceotodaymagazine.com article How Traditional Industries Can Compete for the Top Tech Talent says, "Even in the more traditional industries where technology has historically been something of an afterthought, like law, companies are now implementing highly sophisticated and complex digital transformation projects."

As well, many critical businesses were pushed into digital transformation out of necessity due to the global pandemic caused by COVID-19.

To stay competitive, high-tech leaders must quickly find ways to overcome technological challenges and talent recruitment problems while managing shorter development cycles and limited budgets. Decision-makers need to increase their R&D expertise, reduce development time, and make their products and services commercially successful.

8 essential areas of high-tech expertise

To constantly innovate and overcome seemingly impossible challenges in the world of high technology and electronics, it’s important to have access to a range of expertise in software development. Although specific needs will vary for different products, services, and industries, mastering some or all of these areas of expertise is paramount:

1. Embedded software & systems

Advances in semiconductor technologies and the integration of hardware acceleration modules into ASSP and SoCs have exponentially increased the complexity of some embedded systems.  Examples include computer vision systems such as RADAR and LiDAR used in autonomous vehicles or the next generation of 5G wireless base stations.  These innovations and technological advances require more advanced embedded software solutions to achieve the desired levels of performance while maintaining reliable and robust solutions.

Read a case study about the complete electronic design of a solid-state 3D LiDAR used in autonomous vehicles and ADAS applications.

 

2. Internet of Things (connected devices)

The Internet of Things (IoT) revolution is already transforming business and daily life. With IoT, objects become "smart" and integrate seamlessly across a global network capable of driving significant economic, social, and business benefits.

To fully realize the benefits of IoT, accurate and reliable data is paramount. Combined with reliable, secure and cost-effective connectivity solutions, high-quality information can empower businesses to generate new revenue streams and process improvements.

Learn about the development of an intelligent street lighting software solution for smart city applications used by a Fortune 50 industrial company in this case study.

 

3. Edge computing

More and more applications require the processing of large volumes of data in real time, creating opportunities to move computing from the cloud to the edge. Examples include video surveillance applications for public safety and optimized traffic flows, and Industry 4.0-centric applications using robotics to automate manufacturing processes. By offering reliable, low-latency communications, 5G communications will allow many of these applications to realize their potential.

In some applications, edge computing will go hand-in-hand with cloud computing to take advantage of each other's strengths. In cases with several thousand IoT sensors each generating a vast amount data, it would be advantageous to pre-process the data collected to extract useful information. That information could then be relayed to the cloud where other larger scale information could be extracted using machine learning algorithms, for example.

Understand how FPGA applications are so fast, powerful and efficient.

 

4. Wireless

It's no longer a secret that wireless communications are now an integral part of our lives. Wireless is not only at the center of mobile devices, but also increasingly in vehicles, connected objects, medical devices, and so on. The number of wireless communication protocols continues to grow, and it is becoming challenging to understand the advantages and inconveniences of each one. Although they’re available on a large scale and at low cost, the wireless protocols adopted by mobile devices (LTE, WiFi, Bluetooth) are not always the best choice for other types of applications and in some cases must be customized to meet specific requirements.

 

5. Networking & communication protocols

Manufacturers of communication and networking equipment are increasingly leaning towards virtualization software solutions based on a Software Defined Network (SDN) architecture and running on agnostic hardware platforms. In several industries, new networking technologies require raising the level of performance expected while maintaining a high quality of service. For some applications, SmartNIC solutions are used to reduce the load on CPUs by distributing the networking, computing, and storage functions directly on NICs. FPGA Manufacturers have recently made significant investments in these types of solutions.

Find out why our highly optimized IP cores are the top choice for data centers, networking and communications equipment.

 

6. Digital Signal Processing

Digital signal processing algorithms are now at the heart of several industries and applications. Examples include the voice control and noise reduction systems found in mobile devices, wireless communication systems using massive MIMO and Beamforming technologies, and RADAR systems used in assisted driving applications. The advent of specialized processors and design tools such as Matlab are using a higher level of abstraction allowing developers and researchers to continually innovate to find solutions that meet ever higher expectations in terms of performance, reliability, and cost.

 

7. Security systems

The world is going digital. To connect, we must trust information we exchange. End-to-end security management has never been more important to ensure security and privacy, while building strong identities and maintaining user trust. As the diversity of digital applications and the number of connected devices continues to increase, security threats are evolving and growing even faster. In order to avoid security breaches, it is incumbent on companies to consider security aspects first when developing their electronic and software solutions.

Discover how multiple challenges were overcome to develop high capacity multichannel, multiband, point-to-point (PTP), point-to-multipoint (PMP) and mesh radio systems used in public safety and defense applications in this case study.

 

8. Machine learning and data science

One of the most important technologies of our era is artificial intelligence (AI), particularly machine learning (ML) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. For example, the autonomous driving system revealed during the April 22, 2019 Tesla Autonomy Investor Day is based on a custom ASIC developed by Tesla’s engineers. This system is capable of merging information from multiple sensors (cameras, RADAR, ultrasonic) to create real-time, accurate scene information of the road. Using CNN (convolutional neural networks), models that are constantly improving as they learn from data collected from thousands of road scenes from Tesla’s vehicles, the system can detect the presence of vehicles, cyclists, pedestrians and other objects.

Read about how École de technologie supérieure (ÉTS) faculty researcher Ismail Ben Ayed and Orthogone Technologies are meeting the technical challenges of artificial vision using deep learning.

 

Using strategic partnerships to help drive innovative software product development

While high-tech companies recognize the need for technical experts, recruiting talent with specific expertise can be difficult and time-consuming. The technative.io article The Tech Recruitment Challenge explains that, “On average, the recruitment process takes approximately 52 days according to a study from Bersin by Deloitte… Integrating new talent into tech functions can be equally costly and time-consuming. The whole process involves vetting applicants, conducting interviews, skills testing them, negotiating terms of employment, before finally getting the new hire up to speed in their role. The process can take several months, depending on seniority.”

With so much cross-fertilization among technologies used in different industries, many high-tech companies are joining forces with leading partners. By forming a partnership to acquire access to technical experts, a company can keep its core team focused on its area of expertise while quickly bringing innovative new solutions to market.

In the cio.com opinion piece Effective partnerships drive innovation, CIO Adam Wakefield says,  “By collaborating with smart organizations of all sizes, corporations drive productivity gains both for their customers and for their own professionals. It’s a win-win for all parties.”

 

Identify the best candidates to partner with for software development

When selecting a company to partner with, it’s important to identify and qualify top-notch software development partners that have 

A top-tier partner with solid expertise in software development will have proven time and time again that it can deliver complex solutions with tight deadlines.  Continuous innovation is a key differentiator prioritized by leading software development partners. 

 

What to expect from a top software development company

A good software development partner should 

It’s essential to choose a reputable software partner with a unique identity, a corporate vision and a first-class reputation acclaimed by innovative high-tech companies.

For more information about strategic partnerships, see 6 powerful benefits of partnering with a leading software development company

CTOs and technical leaders from top high-tech companies confidently partner with Orthogone to augment the technical expertise of their teams.

"I lead a small team of innovators where our responsibility is to protect FLIR from disruptions from all sorts of directions in the market… We have a partnership with Orthogone where they have very highly qualified people that we use to expand the bandwidth of my small team… Having the level of expertise that they bring to the table is very enabling to expand the capability of my team."
- Pierre Boulanger, CTO FLIR Systems

"We pride ourselves on bringing game-changing innovations to the market. Through out-of-the-box thinking, we’ve been able to achieve something pretty impressive in our work with Orthogone – a line of innovative products that surpasses what the competition can offer in terms of both flexibility and performance. We trust Orthogone’s expertise and high standards – they consistently deliver a quality product and integrate seamlessly with the team."
- Etienne Campeau, Software Engineering Manager Kongsberg Automotive

To learn more about partnering with Orthogone to drive innovation, contact us.