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Fieldwork Robotics unveils new Fieldworker 1 robotic for environment friendly berry choosing

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Fieldwork Robotics unveils new Fieldworker 1 robotic for environment friendly berry choosing

The brand new Fieldworker 1 robotic can navigate the rows between crops to autonomously choose ripe fruit. | Credit score: Fieldwork Robotics

Fieldwork Robotics Ltd. yesterday unveiled the Fieldworker 1, a robotic designed to automate berry choosing. The Cambridge, U.Ok.-based firm mentioned it expects the robotic to select berries at speeds just like human staff and to work in a fleet managed by a single operator within the discipline.

Fieldworker 1 consists of vital enhancements in berry ripeness detection and choosing pace, claimed Fieldwork Robotics. Constructing on developments from Innovate UK-backed tasks Berry Bot and Berry AI, the robotic affords predictable per-berry prices, permitting growers to complement their workforce and optimize operational effectivity, it mentioned.

“The progress we’ve got made over the past 18 months has been extraordinary,” acknowledged David Fulton, CEO of Fieldwork Robotics. ‘Partnerships with industry-leading corporations like Costa Group are a testomony to the onerous work of our workforce, the standard of our product, and the effectiveness of our resolution which solves a real-world downside for growers.”

“Fieldwork is strengthening our providing to growers working within the contemporary raspberry {industry},” he added. “We have now secured a wholesome pipeline of contracts with a few of the world’s largest berry growers working in our goal markets, Australia and the U.S., and I’m assured that we’ll proceed to ship to our clients.”

Fieldwork Robotics has joined an increasing group of harvesting automation suppliers validating using robotics and automation for growers. Firms like Tortuga and 4 Growers are deploying comparable techniques that may autonomously choose and harvest “fragile” fruit and veggies like berries and tomatoes.


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Fieldwork collaborates with Costa Group

As a part of an settlement with Costa Group, certainly one of Australia’s main growers of contemporary fruit and greens, Fieldwork Robotics has deployed its techniques for trials at Costa berry farms over the following 12 months. Discipline trials will start within the first quarter of 2025.

“We’re happy to be collaborating with Fieldwork, a frontrunner within the autonomous harvesting sector,” mentioned Costa Group. “We have now a robust deal with exploring new know-how to boost our harvest operations, and we’re trying ahead to trialing this know-how in our farms over the following yr.”

This relationship with Costa alerts continued and rising curiosity in Fieldwork’s know-how from clients throughout the globe, mentioned the businesses.

robotic arm of the fieldwork robotic solution.

Fieldworker features a SCARA arm mounted to a vertical linear axis to place for selecting. | Credit score: Fieldwork Robotics

Fieldworker 1 consists of choosing enhancements

Fieldworker 1 makes use of synthetic intelligence and spectral frequency evaluation to get rid of human bias in ripeness evaluation, making certain high-quality harvests, mentioned Fieldwork Robotics. As a result of a single operator can oversee a fleet, automation can considerably decreasing labor wants and enhance total harvesting effectivity, it asserted.

“Our latest mannequin is the peak of next-generation autonomous harvesting,” acknowledged Dr. Martin Stoelen, founder and chief science officer at Fieldwork. “From our first ever mannequin developed again in 2016, we’ve got made large progress within the improvement of our know-how.”

“Our experience in autonomous agricultural robots has allowed us to craft a classy, cutting-edge robotic system that’s of serious profit to growers working within the contemporary raspberry {industry},” he mentioned.

Fieldwork additionally mentioned the collaboration signifies rising international curiosity in its know-how. With a secured buyer pipeline, the firm mentioned it’s on monitor to start its Sequence A fundraising spherical in 2025.

Based in 2016 by Dr. Martin Stoelen, Fieldwork Robotics focuses on growing vertical robots with modular arms for tender fruit harvesting. Its acknowledged mission is to handle the interconnected challenges of labor shortages, farm inefficiency, and meals waste.

The corporate secured a £2 million ($2.6 million U.S.) seed funding spherical in October 2023 and obtained two Innovate UK grants totaling £1.9 million ($2.5 million) for the BerryBot and BerryAI tasks.

gripper approaches a berry.

The gripper on the Fieldworker 1 robotic is designed to select ripe fruit with out injury. | Credit score: Fieldwork Robotics

Up to date Report & Knowledge Illustrate Distributed Photo voltaic Pricing & Design Developments


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We’re happy to announce the discharge of the most recent version of Berkeley Lab’s Monitoring the Solar annual report, describing tendencies for distributed photo voltaic photovoltaic (PV) methods in the USA, together with the rising contingent of distributed solar-plus-storage methods. The report relies on information from roughly 3.7 million methods put in nationally by way of year-end 2023, capturing near 80% of all methods put in as much as that time and greater than 70% of additives in 2023. This yr’s report updates key tendencies associated to undertaking traits, system design, and pricing, and presents new materials counting on constructing and property information built-in into the Monitoring the Solar dataset.

The report, printed in slide-deck format, is accompanied by a story govt abstract, interactive information visualizations, and a public information file, all accessible by way of the hyperlink above. The authors will host a webinar summarizing key findings from the report on September 4th at 10 am Pacific. Please register for the webinar right here: https://lbnl.zoom.us/webinar/register/WN_w4ImuN7yRcWN1TPUvJIEng

The next are just a few key findings from the most recent version of the report.

Residential methods proceed getting bigger, pushed by growing module effectivity. Residential system sizes have risen steadily over the previous 20 years, reaching a median of seven.4 kW in 2023. System sizes have grown almost in lock-step with PV module efficiencies, as proven within the left-hand panel of Determine 1. Greater module efficiencies enable for extra PV capability, as residential methods are sometimes space-constrained resulting from shading, obstructions, and blended roof orientations. As proven within the right-hand panel of Determine 1, roof-coverage ratios (the proportion of roof-space utilized by the PV modules) sometimes vary from 20-40% in residential functions and have risen solely barely since 2010.

Determine 1. Residential System Dimension and Module Effectivity Developments (left) and Roof-Protection Ratios (proper) Graph kind Berkeley Lab

Non-residential PV adopters span a various set of sectors, as small agricultural methods broaden their share. As proven in Determine 2, half of all non-residential installations in 2023 have been put in on business properties (together with retail, industrial, workplace, warehouse services), roughly one-third on agricultural properties, and 15% by tax-exempt (e.g., authorities, colleges, non secular, and different non-profit) clients. The share of methods put in on agricultural properties has been rising over time; most of those are comparatively small methods (<20 kW), typical of a small household farm. Amongst non-residential methods, third-party possession (TPO) charges are highest for tax-exempt website hosts, particularly authorities and faculty services (TPO charges of 55% and 47% in 2023), which additionally are usually comparatively massive in comparison with different non-residential methods.

Determine 2. Non-Residential PV Buyer Segmentation. Consists of roof-mounted non-residential methods and ground-mounted methods as much as 5 MW. bigger ground-mounted methods are coated in Berkeley Lab’s companion report, Utility-Scale Photo voltaic. Graph kind Berkeley Lab

Battery storage attachment charges proceed inching upwards. In 2023, 12% of all new residential PV installations and eight% of all non-residential installations included battery storage. As common, Hawaii was in a class of its personal, with residential and non-residential storage attachment charges of 95% and 88%, respectively. Residential attachment charges in California rose to 14% for the yr. Most of these methods have been put in beneath the state’s legacy internet metering construction, however attachment charges for methods put in beneath the brand new internet billing tariffs, which strongly incentivize pairing PV with storage, reached roughly 60% by year-end. (Berkeley Lab beforehand printed a extra in-depth evaluation of adjustments within the California photo voltaic market beneath the brand new internet billing construction.) Residential attachment charges in most different states ranged from 4–10% in 2023. Non-residential attachment charges additionally differ extensively throughout states, however are sometimes fairly low (<2%) in states with out focused incentives.

PV system costs fell year-over-year for residential methods, however rose for non-residential methods. From 2022 to 2023, median put in costs for residential methods fell by roughly $0.1/W in actual (inflation-adjusted) phrases, the identical price of decline as over the previous decade. In distinction, median costs for non-residential methods rose for the primary time in 15 years, by $0.1-0.2/W. These small year-over-year adjustments are delicate to fluctuations in inflation, and the lagged impact on put in costs, which may differ throughout initiatives relying on the size of their growth timeline. Throughout all three buyer segments, however particularly for residential methods, put in costs consist predominantly of enterprise course of and different “delicate prices”.

Determine 3. Lengthy-Pattern in U.S. Median Put in Costs. These costs symbolize the up-front worth paid by the shopper for stand-alone PV methods, previous to receipt of any incentives, together with any loan-financing charges bundled into the costs charged by installers, and are adjusted for inflation utilizing the U.S. Bureau of Labor Statistics’ “Client Worth Index for All City Customers, U.S. metropolis common, All objects.” Graph kind Berkeley Lab

PV system costs differ extensively throughout particular person initiatives. Amongst stand-alone PV methods, put in costs differ by roughly $2/W between the 20th and 80th percentile values for each residential and small non-residential clients, and by roughly $1.4/W for big non-residential clients (see Determine 4). That pricing variability displays variations in undertaking traits in addition to options of the native market, coverage, and regulatory surroundings. The report features a multi-variate regression evaluation that estimates the results of key pricing drivers on residential put in costs in 2023. The regression evaluation exhibits essentially the most vital impacts related to the inclusion of battery storage (a $1.4/W enhance), variations in system measurement (a $0.7/W lower from the 20th to the 80th percentile system measurement), and installations on residential new development ($0.7/W decrease than methods put in on present properties).

Determine 4. Put in-Worth Distributions for Stand-Alone PV Techniques Put in in 2023, Graph kind Berkeley Lab

We thank the U.S. Division of Vitality Photo voltaic Vitality Applied sciences Workplace for his or her assist of this work, in addition to the quite a few people and organizations who generously supplied information for this ongoing effort.

The report, printed in slide-deck format, is accompanied by a story govt abstract, interactive information visualizations, and a public information file. Monitoring the Solar

Courtesy of Galen Barbose, Naïm Darghouth, Eric O’Shaughnessy, and Sydney Forrester, Berkeley Lab.


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Unpatched AVTECH IP Digital camera Flaw Exploited by Hackers for Botnet Assaults

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Aug 29, 2024Ravie LakshmananIoT Safety / Vulnerability

Unpatched AVTECH IP Digital camera Flaw Exploited by Hackers for Botnet Assaults

A years-old high-severity flaw impacting AVTECH IP cameras has been weaponized by malicious actors as a zero-day to rope them right into a botnet.

CVE-2024-7029 (CVSS rating: 8.7), the vulnerability in query, is a “command injection vulnerability discovered within the brightness perform of AVTECH closed-circuit tv (CCTV) cameras that permits for distant code execution (RCE),” Akamai researchers Kyle Lefton, Larry Cashdollar, and Aline Eliovich stated.

Particulars of the safety shortcoming have been first made public earlier this month by the U.S. Cybersecurity and Infrastructure Safety Company (CISA), highlighting its low assault complexity and the power to take advantage of it remotely.

“Profitable exploitation of this vulnerability might permit an attacker to inject and execute instructions because the proprietor of the operating course of,” the company famous in an alert printed August 1, 2024.

Cybersecurity

It is price noting that the difficulty stays unpatched. It impacts AVM1203 digicam units utilizing firmware variations as much as and together with FullImg-1023-1007-1011-1009. The units, though discontinued, are nonetheless utilized in business amenities, monetary providers, healthcare and public well being, transportation techniques sectors, per CISA.

Akamai stated the assault marketing campaign has been underway since March 2024, though the vulnerability has had a public proof-of-concept (PoC) exploit way back to February 2019. Nonetheless, a CVE identifier wasn’t issued till this month.

“Malicious actors who function these botnets have been utilizing new or under-the-radar vulnerabilities to proliferate malware,” the online infrastructure firm stated. “There are various vulnerabilities with public exploits or out there PoCs that lack formal CVE project, and, in some instances, the units stay unpatched.”

The assault chains are pretty simple in that they leverage the AVTECH IP digicam flaw, alongside different recognized vulnerabilities (CVE-2014-8361 and CVE-2017-17215), to unfold a Mirai botnet variant on course techniques.

“On this occasion, the botnet is probably going utilizing the Corona Mirai variant, which has been referenced by different distributors as early as 2020 in relation to the COVID-19 virus,” the researchers stated. “Upon execution, the malware connects to numerous hosts by way of Telnet on ports 23, 2323, and 37215. It additionally prints the string ‘Corona’ to the console on an contaminated host.”

The event comes weeks after cybersecurity corporations Sekoia and Workforce Cymru detailed a “mysterious” botnet named 7777 (or Quad7) that has leveraged compromised TP-Hyperlink and ASUS routers to stage password-spraying assaults in opposition to Microsoft 365 accounts. As many as 12,783 energetic bots have been recognized as of August 5, 2024.

Cybersecurity

“This botnet is thought in open supply for deploying SOCKS5 proxies on compromised units to relay extraordinarily sluggish ‘brute-force’ assaults in opposition to Microsoft 365 accounts of many entities all over the world,” Sekoia researchers stated, noting {that a} majority of the contaminated routers are positioned in Bulgaria, Russia, the U.S., and Ukraine.

Whereas the botnet will get its identify from the actual fact it opens TCP port 7777 on compromised units, a follow-up investigation from Workforce Cymru has since revealed a attainable growth to incorporate a second set of bots which might be composed primarily of ASUS routers and characterised by the open port 63256.

“The Quad7 botnet continues to pose a big risk, demonstrating each resilience and flexibility, even when its potential is at the moment unknown or unreached,” Workforce Cymru stated. “The linkage between the 7777 and 63256 botnets, whereas sustaining what seems to be a definite operational silo, additional underscores the evolving techniques of the risk operators behind Quad7.”

Discovered this text attention-grabbing? Observe us on Twitter and LinkedIn to learn extra unique content material we put up.



Android will now not name sluggish chargers ‘quick,’ however solely on Pixel 9 to this point

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Google Pixel 9 charging port

Ryan Haines / Android Authority

TL;DR

  • Android on the Google Pixel 9 sequence has a better threshold for what it considers quick charging.
  • Earlier Pixel telephones would present the “charging quickly” textual content on the lock display for any charger that delivered no less than 7.5W of energy.
  • The Pixel 9, nevertheless, solely exhibits this textual content for chargers that ship no less than 20W of energy.

It’s been over two weeks since Google unveiled the Google Pixel 9 sequence, and we’re nonetheless studying new issues concerning the units that the corporate didn’t point out at its Made by Google occasion. Whereas it’s unlucky it didn’t get round to mentioning neat options like Adaptive Contact, it’s comprehensible that it didn’t have time to say a few of the actually minor quality-of-life adjustments. That’s what we’re right here for, although.

Earlier right this moment, APKMirror founder Artem Russakovskii posted on X about a side of his Pixel 9 Professional XL that he discovered annoying. He talked about that his Pixel 9 Professional XL now not exhibits the “charging quickly” textual content on the lock display. As a substitute, the lock display exhibits an ETA for when his cellphone will full charging. The explanation that is annoying is as a result of it makes it tougher to inform if the cellphone is linked to a quick charger.

Additionally the Pixel 9 Professional XL annoyingly eliminated the “Charging quickly” and changed it with an ETA. Whereas the ETA is helpful, I can now not simply inform if I’m linked to a “quick” charger or not.

Because it seems, although, the “charging quickly” textual content hasn’t disappeared from the lock display. It nonetheless exhibits up for those who use the Google 45W USB-C Charger, as talked about by some customers within the replies to Artem’s publish. Nonetheless, you don’t want a 45W charger for the Google Pixel 9 to make the “charging quickly” textual content seem on the lock display, and also you actually don’t want to make use of Google’s official charger to make it seem, both.

In actual fact, any charger that may ship no less than 20W of energy to the Pixel 9 will set off the “charging quickly” textual content to seem on the lock display. That is because of a current change in Android that’s presently solely enabled on the Pixel 9 sequence.

We reported earlier this 12 months that Android was making ready to improve the quick charging threshold from 7.5W to 20W. The OS on all different Pixel telephones nonetheless makes use of the previous quick charging threshold of seven.5W, however the OS on the Pixel 9 sequence makes use of the upper 20W threshold as a result of Google set the system property charging_string.apply_v2 to true. When this technique property is about to true, the 20W quick charging threshold is used to find out whether or not to indicate the “charging quickly” textual content on the lock display. Though my preliminary reporting on this modification was based mostly on code I discovered inside the third beta of Android 15, I examined the Android 14 firmware for the Pixel 9 sequence and located it was enabled there, too.

Although the quickest charging speeds are solely assured for those who use Google’s official 45W charger, you must be capable to quickly cost any cellphone within the Pixel 9 sequence utilizing a quick USB-PD PPS charger, as Google’s telephones don’t use a proprietary wired charging normal. Nonetheless, it’ll must ship no less than 20W of energy for the Pixel 9 to think about it as “quick,” because the Android OS on the system now not makes use of the previous, outdated quick charging threshold.

Acquired a tip? Speak to us! E-mail our employees at information@androidauthority.com. You possibly can keep nameless or get credit score for the data, it is your selection.

kernel panic – What’s inflicting my Mac Studio window server and full system crash every single day all yr with 8K display?

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I have been having identical the crash on my Mac Studio quite a few instances every single day since first putting in macOS Sonoma a few month after it was first launched final fall.

I am utilizing a Samsung NEO QLED 8K TV because the monitor.

It usually occurs proper after I’m in the course of an information backup or add after I stroll away from the pc. It by no means occurs when I’m really typing on the pc or shifting the mouse, however randomly anytime after that. Generally a minute after I stroll away. Generally an hour. I’ve tried all sleep and energy settings, screensavers, and so forth.

At first I anticipated Apple to repair it within the level launch, as a result of I’ve clicked report each time, nevertheless it’s by no means been fastened.

I’ve used the identical monitor for the reason that starting of August 2023, and by no means had this crash for a number of months till the primary day I put in macOS Sonoma, and have had it every single day since then when my laptop has been used greater than a trivial quantity.

Is anybody else seeing this?

Apple will not be doing something about it despite the fact that I’ve reported it every single day to them with the automated Report button.

It is clearly not brought on by the monitor for the reason that identical monitor by no means brought on the crash anytime till the day I put in Sonoma.

Nevertheless it might be associated to the monitor, like a home windows server bug when attempting to drive 8K to the display. It solely occurs whereas I am not typing or shifting the mouse, although.

SAMSUNG:
  Decision:   7680 x 4320 (4320p/8K UHD 2 - 8K Extremely Excessive Definition)
  UI Appears like:    3840 x 2160 @ 60.00Hz
  Predominant Show: Sure
  Mirror:   Off
  On-line:   Sure
  Rotation: Supported
  Robotically Alter Brightness:  No
  Tv:   Sure
Mac Studio
2023
Chip Apple M2 Max
Reminiscence
32 GB
Startup disk
Macintosh HD
Serial quantity
G4...
macOS Sonoma 14.6.1
Extra Information..
Regulatory Certification
TM and © 1983-2024 Apple Inc.
Your laptop was restarted due to an issue.
This report will likely be despatched robotically to Apple.
› Feedback
Downside Particulars and System Configuration
panic(cpu 3 caller Oxfffffe00271922dc): Kernel information abort. at laptop Oxfffffe0027eaa414, 1r 0xa5917e0027eaa40c (saved state:
Oxfffffe73cf1bb360)
0x0000000000000027 ×1:
0х0000000000000000
Oxfffffe00253cfdd0 x5:
0X0000000000000000
0x0000000000000000 ×9:
Oxfffffe29c865720
х12: 0x0000020000000000 x13:
0x0000000000000000
x16: 0xfffffe00269a4e40 x17:
0x000000000000ae56
x20: 0xfffffe202ed46000 x21:
0X0000000000000000
x24: 0xfffffe24f3b0cc0 x25:
0x0000000000000000
x28: 0xfffffe002a117000 fp:
Oxfffffe73cf1bb730
Oxfffffe0027eaa414 cpsr: 0x60401208 x2:
0х0000000000000000
х6:
0X0000000000000000
x10: 0x0000000000000002 x14:
0x0000000000000000
х18:
0x0000000000000000 x22:
0x0000000000000001
х26: 0x0000000000000000
1r:
0xa5917e0027eaa40c
esr: 0x96000006
x3:
00000000000000
X7 :
0x00000000ca6e000e
x11: 0x0000000000000000
x15: 0x0000000000000010
x19: 0x0000000000000000
х23: 0x0000000000000000
x27: 0xfffffe202ed48540
sp:
Oxfffffe73cf1bb6b0
far: 0x00000000000001ec
Debugger message: panic
Reminiscence ID: Oxff
OS launch kind: Person
OS model: 23G93
Kernel model: Darwin Kernel Model 23.6.0: Mon Jul 29 21:13:04 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_6020
Fileset Kernelcache UUID: C58433CAF051B51A1E8941427B6C3CF3
Kernel UUID: 5CDB68A-1888-3A5C-92B3-86C864439A24
Boot session UUID: 699FAEBD-1CF2-4365-8499-6243F3EC91EF
iBoot model: iBoot-10151.140.19
safe boot?: YES
roots put in: 0
Paniclog model: 14
KernelCache slide: 0x0000000013a8000
KernelCache base:
Oxfffffe00253ac000
Kernel slide:
0x000000001€360000
Kernel textual content base:
Oxfffffe00253b4000
Kernel textual content exec slide: 0x000000001f924000
Kernel textual content
exec base:
Oxfffffe0026928000
mach
_absolute_time: 0x43eaa3d8e73
Epoch
Time:
sec
usec
Boot
: 0x66c1ca7
0x000568a4
Sleep
0x00000000
0x00000000
Wake
0x00000000
0x00000000
Calendar:
0x66d01443
0x00091cbf
Zone information:
Zone map:
Oxfffffe102ea10000 - 0xfffffe302ea10000
• VM
Oxfffffe102a10000 - 0xfffffe14fb6d000
• RO
Oxfffffe14fb6d000 - 0xfffffe1695074000
GENO
: Oxfffffe1695074000 - 0xfffffe1b61d40000
• GEN1
Oxfffffelb61d40000
- Oxfffffe202ea0c000
• GEN2
: Oxfffffe202ea0c000
Oxfffffe24fb6d8000
• GEN3
: Oxfffffe24fb6d8000
- Oxfffffe29c83a4000

Downside Report for macOS
Your laptop was restarted due to an issue.
This report will likely be despatched robotically to Apple.
› Feedback
Downside Particulars and System Configuration
• GENS DATA
: Oxfffffe29c83a4000 - 0xfffffe302ea10000
Metadata:
Oxfffffe10004b0000 - 0xfffffe10084b0000
Bitmaps: Oxfffffe10084b0000 - 0xfffffe100200000
Additional
: 0 - 0
TPIDRX_ELy = {1: 0xfffffe202d399fa0
0: 0x0000000000000003
Oro: 0x00000001616300 }
CORE
PVH locks held: None
CORE
1
PVH
locks held:
None
CORE
2 PVH
locks held: None
CORE
3
PVHI
locks
held: None
CORE
4
PVH
locks
held: None
CORE
5 PVH locks held: None
CORE
6 PVH locks held: None
CORE 7 PVH locks held: None
CORE
8 PVH locks held: None
CORE 9 PVH locks held: None
CORE 10 PVH locks held: None
CORE 11 PVH locks held: None
CORE 0: PC=0x0000000185c16b28, LR=0x0000000185ac82ec, FP=0x000000016cf260
CORE
1: PC=0x000000018e1fc3dc, LR=0x000000018df6ede4,
FP=0x000000016e94efa0
CORE CORE
2: PC=0x0000000185c50594, LR=0x000000018e0cdf5c,
FP=0x000000016f541a90
3 is the one which panicked. Verify the complete backtrace for particulars.
CORE
4: PC=0xfffffe00269b9de8, LR=0xfffffe00269b9de4, FP=0xfffffe73cecd7ef0
CORE CORE
5: PC=0x0000000185a684a0, LR=0x0000000185a67d70, FP=0x000000016f3b1a80
6: PC=0xfffffe00269b9de8, LR=0xfffffe00269b9de4, FP=0xfffffe73cd0bfef0
CORE
7: PC=0xfffffe00269b9de8, LR=0xfffffe00269b9de4, FP=0xfffffe73cebdbef0
CORE 8: PC=0xfffffe00269b9de8, LR=0xfffffe00269b9de4, FP=0xfffffe73cebcfef0
CORE 9: PC=0xfffffe00269b9de4, LR=0xfffffe00269b9de4, FP=0xfffffe73ce8d7ef0
CORE 10: PC=0xfffffe00269b9de4, LR=0xfffffe00269b9de4, FP=0xfffffe73cf1f7ef0
CORE 11: PC=0xfffffe00269b9de8,
LR=0xfffffe00269b9de4,
FP=0xfffffe73cf2dbef0
Compressor Information: 0% of compressed pages restrict (OK) and 0% of segments restrict (OK) with 2 swapfiles and OK swap house
Panicked process 0xfffffe1b64d357d8: 11744 pages, 24 threads: pid 152: WindowServer Panicked thread: 0xfffffe202d399a0, backtrace: Oxfffffe73cf1baad0, tid: 3114
1r: 0xfffffe002697f48c
fp: Oxfffffe73cf1bab60
1r: Oxfffffe0026accabc
fp: 0xfffffe73cf1babd0
Ir: Oxfffffe0026acae88
p: Oxfffffe73cf1baca0
Ir: Oxfffffe002692f8cc
fp: 0xfffffe73cf1bacb0
Ir: Oxfffffe002697ed80
fp: 0xfffffe73cf1bb060
1r:
Oxfffffe0027187248
fp: Oxfffffe73cf1bb080
Ir:
Oxfffffe00271922dc fp:
1r:
Oxfffffe0026acc8d4
Oxfffffe73cf1bb200
fp:
Ir:
Oxfffffe0026acb028
fp:
Oxfffffe73cf1bb270
1r:
Oxfffffe002692f8cc
Oxfffffe73cf1bb340
fp:
1r:
Oxfffffe0027eaa40c
Oxfffffe73cf1bb350
fp:
Oxfffffe73cf1bb730
a:hhhhh:ラランカトレラクタ
Disguise Particulars
OK

The essential line above will be the line mentioning the window server:

Panicked process 0xfffffe1b64d357d8: 11744 pages, 24 threads: pid 152: WindowServer Panicked thread: 0xfffffe202d399a0, backtrace: Oxfffffe73cf1baad0, tid: 3114