I'd move the "never" along a couple of slots.
BRN Discussion Ongoing
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Rangersman
Member
Not well said but said well lol.
equanimous
Norse clairvoyant shapeshifter goddess
Here are some innovative deployment ideas where this combination could make a significant impact:
ARQUIMEA has demonstrated an ocean safety drone solution capable of detecting swimmers and surfers in real-time—enhancing lifeguard capabilities across large coastal areas. | BrainChip
ARQUIMEA has demonstrated an ocean safety drone solution capable of detecting swimmers and surfers in real-time—enhancing lifeguard capabilities across large coastal areas. This event-based approach delivers faster detection, improved tracking accuracy, and lower power consumption compared to...www.linkedin.com
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- Wildfire Monitoring and Response
Deploy drones equipped with this technology to monitor vast forested areas for early signs of wildfires. The event-based vision system could detect smoke or sudden temperature changes in real-time, while the low-power neuromorphic processing enables extended flight times. Emergency teams could receive precise coordinates of fire outbreaks, allowing faster containment efforts, especially in remote or rugged terrain where traditional surveillance struggles. - Urban Search and Rescue (USAR)
In disaster scenarios like earthquakes or building collapses, these drones could navigate debris-filled environments to locate survivors. The high-speed detection and tracking capabilities would identify subtle movements—such as a trapped person waving or shifting rubble—under challenging lighting conditions (e.g., dust, darkness). The lightweight, power-efficient design ensures prolonged operation without frequent recharging, critical in time-sensitive missions. - Avalanche and Mountain Rescue
Equip drones to patrol snowy mountain regions, detecting skiers or climbers caught in avalanches. The event-based sensors could spot rapid changes in the snow surface or human motion against a static background, even in blizzard conditions where conventional cameras fail due to blur or low visibility. This would enhance the speed and accuracy of rescue operations in harsh alpine environments. - Flood Detection and Victim Assistance
Use the technology to monitor flood-prone areas, identifying rising water levels or stranded individuals in real-time. The drones could track moving objects—like people or vehicles—across large, dynamic flood zones, providing emergency services with actionable data to prioritize rescue efforts. The low-power advantage allows continuous monitoring during prolonged flood events. - Traffic Accident Response
Deploy drones over highways or urban roads to detect accidents as they occur. The system’s ability to process high-speed events could identify sudden vehicle stops, collisions, or pedestrians in distress, relaying alerts to paramedics and police instantly. This rapid response capability could reduce secondary accidents and improve survival rates in critical situations. - Hazardous Material Spill Detection
In industrial or chemical emergencies, drones could scan for spills or leaks by detecting unusual motion (e.g., liquid spreading) or changes in infrared signatures. The neuromorphic system’s efficiency ensures safe, prolonged operation near hazardous sites, providing real-time updates to containment teams without risking human exposure. - Crowd Safety at Large Events
Monitor festivals, protests, or sports events for emergencies like stampedes or medical incidents. The event-based approach excels at tracking fast-moving crowds and spotting anomalies—like a person collapsing—across wide areas. Emergency responders could be directed to exact locations quickly, improving crowd management and safety. - Border and Perimeter Security
Enhance surveillance along borders or sensitive installations by detecting unauthorized movements in real-time. The technology’s low power consumption supports long-duration patrols, while its ability to function in low-light or adverse weather conditions ensures reliable detection of intruders or suspicious activity, aiding rapid response by security forces. - Medical Delivery in Crisis Zones
Equip drones to deliver critical supplies (e.g., defibrillators, medicine) to remote or disaster-stricken areas. The event-based sensing could guide navigation through chaotic environments—avoiding obstacles and identifying landing zones—while the neuromorphic processor optimizes battery life, ensuring more deliveries per charge. - Wildlife Rescue and Poaching Prevention
Use drones to monitor endangered species or detect poaching activities in vast nature reserves. The system could track animal movements or spot human intruders at night, providing rangers with real-time alerts. Its energy efficiency makes it ideal for extended missions in off-grid wilderness areas.
Grok.
Meta (Facepalm)
Meta is being excoriated before US Senate by whistleblower:
So I thought I'd check on their AI tech:
The Llama 4 Models are a collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick. These models are optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems. The models have a knowledge cutoff of August 2024.
"a knowledge cutoff of August 2024" - ie, no ML.
Meta is being excoriated before US Senate by whistleblower:
So I thought I'd check on their AI tech:
Llama 4
IntroductionThe Llama 4 Models are a collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick. These models are optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems. The models have a knowledge cutoff of August 2024.
"a knowledge cutoff of August 2024" - ie, no ML.
Mutatis mutandis
Frangipani
Top 20
Miguel Lopez, Head of Robotics at ARQUIMEA Research Center (ARC), posted this earlier today:
www.linkedin.com
His own name and the names of the researchers in his ARC robotics perception team, which he congratulates on their “fantastic work” in the above post, match with more than half of the co-authors of the research paper “Real-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision” that I shared last month.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-454042
While the paper is not open access and I thus still cannot verify whether or not it already mentions the event-based Prophesee & Akida drone solution, it is at least quite likely that the other co-authors would already have been aware of Akida at the time of publication (which appears to be 1 January 2024; the paper was subsequently presented at the 2024 7th Iberian Robotics Conference at Universidad Politécnica de Madrid in early November 2024, cf. page 16 of the PDF programme accessible on https://eventos.upm.es/109808/detail/robot-2024-.html), given Miguel Lopez wrote that “This #research project has been in the making for quite some time now…” - and even if not, well, they are definitely now.
All co-authors not underlined are affiliated with the research group “Computer Vision and Aerial Robotics” (CVAR) within the Centre for Automation and Robotics (CAR) at Universidad Politécnica de Madrid (UPM), headed by Pascual Campoy, who has been a full professor at UPM for more than 42 years and has been involved in more than 40 R&D projects, including over 25 technical transfer projects directly contracted with the industry.
The paper’s first author is Rodrigo Da Silva Gómez, a UPM student:
The paper’s remaining three co-authors are two current PhD students and a former PhD student at CVAR-UPM who is now an AI consultant and freelancer:
The way I see it, that bodes well for the CVAR researchers at UPM (which ranks as Spain’s top technical university, by the way) potentially using our technology for current or future technical transfer projects with industry partners.
I usually publish about robotic #actuation, so this is one of the rare ocasions where our work in robotics perception comes to light. | Miguel L.
I usually publish about robotic #actuation, so this is one of the rare ocasions where our work in robotics perception comes to light. This #research project has been in the making for quite some time now, it´s great to see a fully #neuromorphic #perception system delivering results on a...
His own name and the names of the researchers in his ARC robotics perception team, which he congratulates on their “fantastic work” in the above post, match with more than half of the co-authors of the research paper “Real-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision” that I shared last month.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-454042
While the paper is not open access and I thus still cannot verify whether or not it already mentions the event-based Prophesee & Akida drone solution, it is at least quite likely that the other co-authors would already have been aware of Akida at the time of publication (which appears to be 1 January 2024; the paper was subsequently presented at the 2024 7th Iberian Robotics Conference at Universidad Politécnica de Madrid in early November 2024, cf. page 16 of the PDF programme accessible on https://eventos.upm.es/109808/detail/robot-2024-.html), given Miguel Lopez wrote that “This #research project has been in the making for quite some time now…” - and even if not, well, they are definitely now.
All co-authors not underlined are affiliated with the research group “Computer Vision and Aerial Robotics” (CVAR) within the Centre for Automation and Robotics (CAR) at Universidad Politécnica de Madrid (UPM), headed by Pascual Campoy, who has been a full professor at UPM for more than 42 years and has been involved in more than 40 R&D projects, including over 25 technical transfer projects directly contracted with the industry.
The paper’s first author is Rodrigo Da Silva Gómez, a UPM student:
The paper’s remaining three co-authors are two current PhD students and a former PhD student at CVAR-UPM who is now an AI consultant and freelancer:
The way I see it, that bodes well for the CVAR researchers at UPM (which ranks as Spain’s top technical university, by the way) potentially using our technology for current or future technical transfer projects with industry partners.
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JoMo68
Regular
Gandauco
Emerged
Oh yeah, I love them too, they're the best!
FJ-215
Regular
equanimous
Norse clairvoyant shapeshifter goddess
Most likely a scam dont click link
Pom down under
Top 20
Looks like most of yesterday gains will be lost today.
equanimous
Norse clairvoyant shapeshifter goddess
IDS Launches New Event Based Cameras
Cameras designed for machine vision applications performed at very high speeds, including vibration monitoring, bin picking, object tracking.
www.vision-systems.com
IDS Launches New Event Based Cameras
Cameras designed for machine vision applications performed at very high speeds, including vibration monitoring, bin picking, object tracking.April 10, 2025
2 min read
Photo/IDS
IDS Imaging Development Systems GmbH has launched a new camera in its uEye camera line, the uEye EVS. The camera has a USB3 interface that achieves 5 Gbps speeds. It is equipped with a Prophesee-Sony IMX636 CMOS sensor, which is designed to capture only relevant motion in an image. The sensor has .92 MPixel, 1280 x 720 resolution, is light sensitive up to 40mlux with 120dB HDR, performs scene-controlled events with 1μs time resolution, and utilizes less data—between 10x to 1000x less—than image-based sensors.
The uEye EVS cameras are especially designed machine vision applications requiring very high speed image processing, such as optical monitoring of vibrations, high speed motion analyses, bin oicking and depalletization, and object tracking.
To Learn More:
Contact: IDS Imaging Development Systems GmbH
Headquarters: Obersulm, Germany
Product: uEye EVS camera
Key Features: Prophesee-Sony IMX 636 CMOS sensor, .92 MPixel, 1280 x 720 resolution, light sensitive up to 40mlux
What IDS says: View more information on uEye EVS camera series
Share your vision-related news by contacting Linda Wilson, Editor in Chief, Vision Systems Design.
Papacass
Regular
Do you reckon this is why Brainchip employed the lifeguard from Huntington Beach to the sales team?Miguel Lopez, Head of Robotics at ARQUIMEA Research Center (ARC), posted this earlier today:
I usually publish about robotic #actuation, so this is one of the rare ocasions where our work in robotics perception comes to light. | Miguel L.
I usually publish about robotic #actuation, so this is one of the rare ocasions where our work in robotics perception comes to light. This #research project has been in the making for quite some time now, it´s great to see a fully #neuromorphic #perception system delivering results on a...
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View attachment 82002
View attachment 82003
His own name and the names of the researchers in his ARC robotics perception team, which he congratulates on their “fantastic work” in the above post, match with more than half of the co-authors of the research paper “Real-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision” that I shared last month.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-454042
While the paper is not open access and I thus still cannot verify whether or not it already mentions the event-based Prophesee & Akida drone solution, it is at least quite likely that the other co-authors would already have been aware of Akida at the time of publication (which appears to be 1 January 2024; the paper was subsequently presented at the 2024 7th Iberian Robotics Conference at Universidad Politécnica de Madrid in early November 2024, cf. page 16 of the PDF programme accessible on https://eventos.upm.es/109808/detail/robot-2024-.html), given Miguel Lopez wrote that “This #research project has been in the making for quite some time now…” - and even if not, well, they are definitely now.
View attachment 82011
All co-authors not underlined are affiliated with the research group “Computer Vision and Aerial Robotics” (CVAR) within the Centre for Automation and Robotics (CAR) at Universidad Politécnica de Madrid (UPM), headed by Pascual Campoy, who has been a full professor at UPM for more than 42 years and has been involved in more than 40 R&D projects, including over 25 technical transfer projects directly contracted with the industry.
View attachment 82019
View attachment 82021
The paper’s first author is Rodrigo Da Silva Gómez, a UPM student:
View attachment 82022
The paper’s remaining three co-authors are two current PhD students and a former PhD student at CVAR-UPM who is now an AI consultant and freelancer:
View attachment 82023
View attachment 82024
The way I see it, that bodes well for the CVAR researchers at UPM (which ranks as Spain’s top technical university, by the way) potentially using our technology for current or future technical transfer projects with industry partners.
Maybe. Do you reckon the drone can detect rips and do something when it idenifies a swimmer in trouble like deploy a flotation device? That would be spectacular.
Morning Chippers ,
& This article was interesting also , though un-related .
www.cnbctv18.com
Regards,
Esq.
& This article was interesting also , though un-related .
Apple airlifts 600 tons of iPhones from India 'to beat' Trump tariffs, sources say - CNBC TV18
The packaged weight of an iPhone 14 and its charging cable come to about 350 grams (12.35 oz), Reuters measurements show, implying the total cargo of 600 tons comprised about 1.5 million iPhones, after accounting for some packaging weight.
Regards,
Esq.
TheDrooben
Pretty Pretty Pretty Pretty Good
Cheers, @Esq.111. Here's the link to the Wevolver article.........Morning Chippers ,
& This article was interesting also , though un-related .
Apple airlifts 600 tons of iPhones from India 'to beat' Trump tariffs, sources say - CNBC TV18
The packaged weight of an iPhone 14 and its charging cable come to about 350 grams (12.35 oz), Reuters measurements show, implying the total cargo of 600 tons comprised about 1.5 million iPhones, after accounting for some packaging weight.
Regards,
Esq.
Welcome to the Keyword Spotting Revolution: Where Intelligent Voice Interaction meets Real-World Applications
Imagine a world where devices respond instantly to your voice commands without relying on cloud processing—that's now possible with keyword spotting. Read more to discover how it is revolutionizing voice-enabled technology.
www.wevolver.com
supersonic001
Regular
Discover how BrainChip's event-based, on-device computing is transforming AI by delivering faster, more efficient processing. | BrainChip
Discover how BrainChip's event-based, on-device computing is transforming AI by delivering faster, more efficient processing. A recent Wevolver article features BrainChip’s Keyword Spotting technology for products like smart devices, wearables, and consumer appliances. Powered by Akida Pico...
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