Software engine makes lidar data hardware-agnostic

3D spatial intelligence specialist, Outsight, offers the Augmented Lidar Box (ALB), believed to be the first real-time lidar (light detection and ranging) software engine that allows developers to seamlessly use lidar data from any hardware supplier. 

The software within a small computing device works with sensors from different manufacturers (including Velodyne, Ouster, Hesai, Robosense and Innoviz) and  instantly converts raw 3D data input to accessible, actionable data. 

Lidar technology is increasingly used across a range of industries outside of the automotive sector, such as energy, intelligent transportation systems, logistics, manufacturing, smart infrastructure, defence, space and agriculture.

3D lidar was introduced in 2005 to give autonomous vehicles real time, 360 degree perception. It allows cars to determine the situation on the road, but also to cope with other, more complex tasks, for example, analysing people’s interactions in a certain space, calculating the exact volume and quantity of objects in a truck, or enabling many robotics applications. It is estimated there will be 16 million lidar sensors in smart cities, security and industry verticals by 2030, and 13 million installed in vehicles. Intelligent transportation systems (ITS) such as smart intersections and smart infrastructure applications are expected to be the main drivers of market growth, with software for lidar in smart infrastructure and ITS applications expected to account for at least 40 per cent of the value.

Lidar sensor prices are dropping as more companies operate in the market but there are problems of data interpretation and ease of use of available devices, reports Outsight. Selecting the right lidar sensor from dozens of hardware suppliers and more than 100 available products, without any standard, is a time-consuming and inefficient use of engineering resources, argues the company.

It says its ALB real time software allows any engineer from any market segment to use lidar data without needing to become a 3D expert because it includes the fundamental insight commonly required by users (e.g., localisation and mapping, object identification and tracking, segmentation and classification).

The ALB is believed to be the first lidar pre-processor. It is a real time software engine that turns any lidar into a spatial intelligence device. It overcomes the complexity of using raw 3D data, so any application developer or integrator can efficiently use lidar without needing to become a 3D lidar expert, says Outsight.   

http://www.outsight.tech 

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Magnachip expands OLED DDIC for automotive displays

Organic light-emitting diode (OLED) display driver integrated circuits (DDICs) from Magnachip now include models for automotive displays. 

The company has responded to an increase in demand for automotive semiconductors required for electric vehicles (EVs), autonomous driving and connected cars and their infotainment and safety systems. OLED panels offer image quality, high visibility and fast response times.

Magnachip is developing an OLED DDIC for automotive systems’ centre stack and instrument cluster displays, based on its 40nm process technology. The next-generation DDIC supports a wide range of resolutions including FHD (full high definition) and is suitable for both rigid and flexible OLED displays. The DDIC will integrate source drivers, gate drivers and timing controllers in a single chip. This feature will enable the production of cost-effective display panels consisting of fewer components, says Magnachip. 

Market research company, Omdia, expects the automotive display market to grow from $8.2 billion in 2021 to $9.7 billion in 2025. The revenue of global automotive OLED panel market reached $117 million in 2021 and it is expected to increase approximately 350 per cent to $524 million in 2025, says the company.

YJ Kim, CEO of Magnachip, believes: “Vehicles incorporating displays based on our next-generation OLED DDIC technology represents another step in improved safety, functionality and convenience for consumers.”  

The company plans to supply the new product to premium European car manufacturers in the first half of 2023.

Magnachip Semiconductor designs and manufactures analogue and mixed-signal semiconductors for communications, IoT, consumer, industrial and automotive applications. The company provides a broad range of standard products to customers worldwide. It has more than 40 years of operating history and a portfolio of approximately 1,200 registered patents and pending applications, together with extensive engineering, design and manufacturing process expertise. 

http://www.magnachip.com 

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Voice-activated medallion serves as a wireless virtual assistant 

Powered by Syntiant’s NDP101 low power edge AI processor, a medallion developed by Zinfanite Technologies acts as a virtual assistant. It provides hands-free functionality, wake word recognition and speech commands in a compact, waterproof device designed to be worn around the neck or attached to a shirt pocket or sleeve.

Used with Zinfanite’s companion smart phone application, the voice activated medallion (VAM) can be used as a wireless virtual assistant that allows users to call, send messages or listen to music with hands- and arms-free operation. The VAM also works as an Alexa-enabled device that provides access Alexa’s functions.

Jana Fernando, founder of Zinfanite Technologies, explains: “VAM easily connects via Bluetooth and gives users the flexibility of staying connected for whatever they are doing, whether it is exercising, taking a trip to the grocery store or just sitting at home relaxing listening to music. VAM also is equipped with Syntiant technology that allows for highly accurate deep learning processing with minimal drain on battery consumption, giving more time for consumers to enjoy their hands-free connectivity experiences.” 

The Syntiant® NDP101 Neural Decision pocessor enables always-on, cloud-free wake word identification and other voice commands for the Zinfanite VAM. Embedded with the Syntiant Core 1 neural network, the NDP101 microWatt-level processor achieves 100 times more efficiency and 10 times more throughput compared to traditional microcontroller-based designs, claims the company. The processor is custom built to run neural workloads and consumes less than 140 microW when running deep learning processing for voice and sensor applications.

The VAM has a range of up to 200 feet or 60 metres. It weighs one ounce or 28g and is available in a variety of styles and colours. It also has a programable tap-detection feature that allows users to control the medallion with additional commands, such as to play and pause music, as well as adjust volume levels.

It has two microphones with noise filtering technology and a built-in speaker. The Bluetooth 5.0 connected medallion allows for 16 hours of continuous talk / music listening and alerts can be customised to advise the status of battery percentage remaining, new emails or texts.

“Our voice activated medallion serves many lifestyles especially older adults, where recent studies have demonstrated the benefits of voice assistants among seniors,” adds Fernando. “One pilot study at a retirement community in California found that all survey participants reported that Alexa made their lives easier, and more than 70 percent noted that the Alexa-enabled device helped them stay connected to friends, family and the community.”

http://www.zinfanite.com

http://www.syntiant.com 

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Robotics development kit is compatible with ROS1 and ROS2

Increasing support for robotics development, TDK has introduced the RoboKit. The development kit includes a six-axis inertial measurement unit (IMU), pressure sensor, magnetometer, temperature sensor, embedded motor controller, ultrasonic time of flight (ToF) sensors and an industrial IMU sensor module.

Designed for quick prototyping and development the robotics hardware platform is accompanied by ROS1 and ROS2 -compliant drivers and software algorithms.

The RoboKit will be offered as a stand-alone development platform as well as a full robot reference design. The board will consist of the six-axis IMU (three-axis gyroscope, three-axis accelerometer), a capacitive barometric pressure sensor, four digital I²S microphones, a temperature sensor, embedded motor controller and magnetometer. There are also Bluetooth Low Energy (LE) -enabled Windows and Android apps for the sensors and algorithms evaluation and data collection.

Depending on the version, there will also be TDK’s industrial IMU sensor module via flex cables, a full robotic chassis and 3D printed casing, allowing end customers to develop a fully functional robotic reference design.

The company claims the combination of hardware from multiple TDK group companies, with software stacks and algorithms that solve real robotics problems is “a first of its kind and will help fast track robotics at any point during the development process”.

The development kit is suitable for industrial and consumer robotics and drones. It is available to order now through distribution channels worldwide, with shipping targeted for mid Q1 2022.

TDK is based in Tokyo, Japan. It was established in 1935 to commercialise ferrite, a key material in electronic and magnetic products. Today, its portfolio features passive components such as ceramic, aluminium electrolytic and film capacitors, as well as magnetics, high-frequency and piezo and protection devices. The product spectrum also includes sensors and sensor systems such as temperature and pressure, magnetic and MEMS sensors. In addition, TDK provides power supplies and energy devices and magnetic heads. These products are marketed under the product brands TDK, Epcos, InvenSense, Micronas, Tronics and TDK-Lambda. 

TDK focuses on demanding markets in automotive, industrial and consumer electronics, and information and communication technology. The company has a network of design and manufacturing locations and sales offices in Asia, Europe, and in North and South America. 

InvenSense is a TDK Group company. Its solutions combine MEMS (micro electrical mechanical systems) sensors, such as accelerometers, gyroscopes, compasses, microphones, and ultrasonic 3D-sensing with proprietary algorithms and firmware that intelligently process, synthesise and calibrate the output of sensors. The company’s motion tracking, ultrasonic, audio, fingerprint, location platforms and services can be found in mobile, wearables, smart home, industrial, automotive, and IoT products. 

http://www.invensense.tdk.com

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