Friday 28 April 2023

Military researchers eye electro-optical sensors with machine learning algorithms for defense applications:

Military researchers eye electro-optical sensors with machine learning algorithms for defense applications:

ARLINGTON, Va. – U.S. military researchers are asking industry to develop a new kind of camera and digital signal processing to enable intelligent electro-optical sensors for tactical military applications. Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a broad agency announcement on Friday (HR001121S0001) for the Fast Event-based Neuromorphic Camera and Electronics (FENCE) program. DARPA FENCE seeks to develop and demonstrate a low-latency, low-power, event-based camera and a new class of digital signal processing and machine learning algorithms that use combined spatial and temporal information to enable intelligent sensors for tactical military applications. Neuromorphic describes silicon circuits that mimic brain operation; it exhibits low latency, sparse output, and extreme energy efficiency. Neuromorphic cameras offer sparse output, and respond only to changes in the scene, with accompanying low latency and low power for small-format cameras in sparse scenes.

#sensors#temperature#pressuresensors#wsn#wifi#gassensors#biosensors#vibrationsensors#humidtysensor#neuromorphic#parkingsensors#nanosensors#MOSsensors#wireless#transducer#measuring#sensing#WSN#detectors#thermistors#machinary#ulurasonic#proximitysensor#lightsensor#computer#imagesensor

4th Editonal of International Conference on Sensing Technology | 27-28 Apr 2023 | Malaysia

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Optical Sensors Advancing Precision in Agricultural Production

Optical Sensors Advancing Precision in Agricultural Production:

Agricultural production, already incredibly efficient in much of the developed world, is increasing each year — this is a necessity to feed the 9+ billion people expected on the planet by 2050. A great example of productivity gains is in corn (i.e., maize, Zea mays). One of the most productive crops, corn’s yield has increased sevenfold over the last 100 years in the U.S., meaning that seven times less land is needed to feed the same number of people¹

While favorable soils and weather have always played a central role in agriculture productivity, the increases in productivity have been driven by farmers’ use and adaptation of improved technologies. Despite past successes, agriculture continues to be challenged to “produce more with less” with farm inputs such as phosphorus and irrigation water, which are decreasing in availability and increasing in costs. These challenges are compounded by a changing climate and a need to ensure practices are sustainable both economically and environmentally. As in the past, agriculture will meet new obstacles that arise through research discoveries and new production tools. Unlike in the past, tools will not be exclusively the domain of agronomists, plant breeders, agricultural engineers and other traditional agricultural scientists; finding solutions will require input and integration from diverse disciplines not previously involved in agriculture, such as photonics and computer science. New sensor and imaging technologies are among the most important and exciting new tools that will be incorporated to see and respond to what has previously been intractable. Photonics will help researchers and farmers apply discoveries on the farm to more rapidly, cheaply and accurately manage crops.

4th Editonal of International Conference on Sensing Technology | 27-28 Apr 2023 | Malaysia

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Thursday 27 April 2023

The Schematic Diagram of Automotive Sensor Signal Conditioning

The vehicle sensor is an input device of the automobile computer system. It converts the car’s operating conditions into electrical signals and send to computer, such as vehicle speed, medium temperature, engine operating conditions, etc.

There are many vehicle sensors, when you analyze a sensor failure. You should not only consider the sensor itself, but consider the whole circuit.Therefore, when you are looking for a failure, in addition to inspecting the sensor, you should check the wiring harness, the connector and the relevant circuit between the sensor and the electronic control unit.

The ZSSC3170 from ZMDI company, is an automotive sensor signal conditioner which integrates PWM interface, with a maximum analog gain of 420 and extended offset compensation:

1. The device is compatible with the forest indicator 1.3 / 2.0 / 2.1;

2. Data conversion rate is up to 430Hz;

3. Power supply voltage 7 – 18V;

4. The resolution of the ADC is 13-14 bits;

5. The output resolution is up to 12 bits;

6. The sleep mode current consumption is less than 100uA.

This article describes the main features of the ZSSC3170, block diagrams and multiple application circuits.

4th Editonal of International Conference on Sensing Technology | 27-28 Apr 2023 | Malaysia

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Sensor Technologies for Intelligent Transportation System

Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the transportation infrastructure to achieve a sustainable Intelligent Transportation System (ITS) and how safety, traffic control and infotainment applications can benefit from multiple sensors deployed in different elements of an ITS. Finally, we discuss some of the challenges that need to be addressed to enable a fully operational and cooperative ITS environment.

4th Editonal of International Conference on Sensing Technology | 27-28 Apr 2023 | Malaysia

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Tuesday 11 April 2023

Save electricity with motion sensors

Save electricity with motion sensors:

Motion sensors can help you save on your bill without your having to do anything. They are responsible for turning on the light when they sense a presence and automatically turning it off when it is no longer there. This way you avoid the risk, and expense, of having lights on where you don’t need them.

When we think of home automation it is normal to imagine a sophisticated house controlled by a “digital brain” that automatically responds to our needs. Well, you too can enjoy hassle-free home automation with something as simple as motion sensors to turn lights on and off.

Lighting when needed

Lighting empty spaces is an expense, even with energy efficient light bulbs. Especially those you just walk through or where you stay only for a short time but where the lights may remain on for a long time. More or less until you notice and turn them off.Long corridors, dressing rooms, bathrooms, inside wardrobes and cabinets, staircases and terraces are ideal spaces to place them in a flat. No more searching for the switch if there is a motion detection device.In the case of a house, the entrances, garage, boiler room and certain parts of the garden are also perfect candidates.Aside from the convenience they offer, activating the lights when motion is detected also has an important element of security. Because just as they light up for you, they are activated when someone unexpected is in the area.In addition, in the same way they turn on the lights, they automatically turn them off after a certain length of time with no activity. This can mean the end of lights placed where they serve no purpose.

4th Editonal of International Conference on Sensing Technology | 27-28 Apr 2023 | Malaysia

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Tuesday 4 April 2023

Application-specific vibration pre-processing chip

POLYN Technology has introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. VibroSense greatly reduces the amount of sensor data transmitted to the cloud, saving on power consumption and enabling energy-harvesting designs.

VibroSense extracts unique patterns from sensor’s raw signal and passes the valuable data only for classification at the next compute point. It smoothly and simply integrates into existing solutions to improve the ROI and OPEX of the deployment. It is particularly suited to Industry 4.0 applications.

“PdM solutions usually require cloud services and are resource-hungry,” said Eugene Zetserov, Vice President of Marketing for POLYN. “The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud

“VibroSense reduces the need for these resources through a thousandfold reduction of sensor data to be sent for analysis in the central cloud or at the edge.”

4th Editonal of International Research Awards on Sensing Technology | 27-28 Apr 2023 | Malaysia

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Tiny smart waste sensor cuts emissions significantly

OSCAR from adhoc networks is the world’s smallest, smart, waste sensor module, measuring a mere 71- x 43- x 28-mm. The optics can measure up to 4m within a container with a cone angle of 27° to determine the fill level. The company’s waste sensor modules are the key to its automated, fill-level detection and collection scheduling technology for local authorities and private companies that can reduce unnecessary collection trips to containers that are only partly filled.

The optical sensor in the device monitors the fill level in the waste container and sends that data for centralised processing to enable a schedule of waste collection to be created. Because waste is only collected when the containers are actually full, CO₂ emissions by the collection fleet can be reduced by up to 40%.

“Knowing the exact level in every container ensures that there are no wasted collections of part filled containers and, even more importantly, no overflowing containers,” explained Ole Ostermann, adhoc networks’ CEO. “Our approach is the perfect solution for monitoring the new generation of waste containers that are larger and discretely located below ground level. These are not currently easy to check the fill level apart from lifting a lid so they are usually emptied more often than necessary just to be sure, but that is a waste of resources.”

The OSCAR waste sensor uses a Nordic Semiconductors’ nRF9160 SiP to collate data and send it to the Cloud over the mobile network LTE-M and Narrowband-IoT. It has a low power need so its 3.6-V Li-Thionyl Chloride battery has an operational life of up to five years based on, typically, twelve fill measurements a day and three uplinks of the data to the Cloud.

4th Editonal of International Conference on Sensing Technology | 27-28 Mar 2023 | Malaysia

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Monday 3 April 2023

Bengaluru astronomers help develop low-cost star sensors for satellites

BENGALURU: Astronomers from the city-based Indian Institute of Astrophysics (IIA) and their collaborators have developed a low-cost star sensor that can help small CubeSat-class satellites find their orientation in space.

The instrument, Starberry-Sense, built using commercially available off-the-shelf (COTS) components, is ready for launch on the Polar Satellite Launch Vehicle’s stage-4 orbital platform and can be used for CubeSats and other small satellite missions in the future.
Pointing out that in recent years, CubeSats and small satellite missions have gained a great deal of popularity, astronomers said these missions utilise commercially available components for their design and development, but the typical cost of a commercially available star sensor often exceeds the total budget for a CubeSat.
Starberry-Sense can help address this issue. “The sensor developed by researchers at IIA and their collaborators costs less than 10% of those available in the market. The brain of the instrument is a single-board Linux computer called Raspberry Pi, which is widely used among electronics hobby enthusiasts,” the department of science and technology (DST) — of which IIA is an autonomous institution — said in a statement.

Bharat Chandra, a PhD scholar at IIA and first author of the research published in the Journal of Astronomical Telescopes, Instruments and Systems, said the team coupled some highly optimised algorithms with a Raspberry Pi and turned it into a potent star sensor. “We could demonstrate that instruments built from easily available components can be qualified for space,” he added.
Binukumar Nair, co-author of the study, said: “Our modular design allows for quick and easy customisation for various requirements. For example, even though StarBerry-Sense is meant for space-based applications, a modified version will be interfaced with the Major Atmospheric Cherenkov Experiment, located at the Indian Astronomical Observatory, Hanle, Ladakh.”

4th Editonal of International Conference on Sensing Technology | 27-28 Apr 2023 | Malaysia

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International Conference on Sensing Technology

Friday 28 April 2023

Military researchers eye electro-optical sensors with machine learning algorithms for defense applications:

Optical Sensors Advancing Precision in Agricultural Production

Optical Sensors Advancing Precision in Agricultural Production:

Thursday 27 April 2023

The Schematic Diagram of Automotive Sensor Signal Conditioning

The Schematic Diagram of Automotive Sensor Signal Conditioning

Sensor Technologies for Intelligent Transportation System

Sensor Technologies for Intelligent Transportation System

Tuesday 11 April 2023

Save electricity with motion sensors

Tuesday 4 April 2023

Application-specific vibration pre-processing chip

Tiny smart waste sensor cuts emissions significantly

Monday 3 April 2023

Bengaluru astronomers help develop low-cost star sensors for satellites

What is a Sensor?

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