1、White PaperAirHub Software&ConsultancyAirHubArtificial Intelligence&DronesEnhancing First Response&Public SafetyAI Use in Drones White Paper 2024AI&Drones White PaperExecutive SummaryThis white paper explores the integration of Artificial Intelligence(AI)with drones to en-hance first response and pu
2、blic safety operations from the perspective of a fleet manage-ment system.By combining a detailed market analysis with insights gained from inter-views with professionals who use drones as part of their first response and public safetyoperations;this paper provides an overview of the current state,c
3、hallenges,and futurepotential of AI in drone operations,offering actionable recommendations for integratingAI functionalities into drone operations through fleet management systems.Integrating AI into drones for first response and public safety offers significant enhance-ments in operational efficie
4、ncy and effectiveness.AI functionalities,such as real-time ob-ject detection and tracking,enable drones to provide rapid situational awareness and canplay a pivotal role in solving the difficult tasks faced by first responders and public safetyprofessionals.By automating routine tasks and providing
5、accurate,real-time information,AI can reduce response times,minimize risks to personnel,and improve the decision-making processes-allowing for efficient,safe and well-informed drone operations.While the technology for AI integration with drones is available,its utilization is minimal.Most AI functio
6、nalities are offered as external add-ons rather than built-in features infleet management systems.Despite companies beginning to explore the developmentand integration of AI through collaborations and third-party solutions;comprehensive,ready-to-use AI functionalities are still scarce in the fleet m
7、anagement systems market.Professionals interviewed highlighted the potential of AI integration to enhance situa-tional awareness,reduce response times,and lower risks to personnel.Object detectionand tracking are pointed out as key AI functionalities that can substantially complementfirst response a
8、nd public safety drone operations.Significant challenges to drone opera-tions include navigating regulatory frameworks,managing airspace,and addressing theresource-intensive nature of drone operations.Technical reliability and data security,especially concerning DJI drones,are also cited as troubles
9、ome.The professionals in-terviewed prefer sourcing AI functionalities from third-party vendors due to a lack of in-house expertise of AI development,favoring plug-and-play solutions that can be easilyintegrated into already existing systems-such as fleet management systems.The potential of AI in dro
10、ne operations for first responders and public safety is extensive.AI can significantly enhance situational awareness,automate routine tasks,and improveoverall operational efficiency and safety.By addressing current market gaps and providinguser-friendly,integrated AI functionality,fleet management s
11、ystems can considerablyenhance drone operations for first response and public safety.First responders and public safety authorities are encouraged to adopt AI-enhanced dronesolutions to improve the effectiveness and safety of their operations.AirHub is ready toassist in this transition by offering a
12、 comprehensive fleet management system integratedwith advanced AI functionalities.Our solutions are designed to meet the specific needsof first responders and public safety authorities,facilitating reliable,secure,and efficientdrone operations.AI&Drones White PaperTable of Contents1 Introduction.12
13、Background and Market Analysis.22.1 Lots of Potential-Not a Lot Available.43 Interviews:Insights from Professionals.54 Synthesis&Discussion.84.1 Common Findings.84.2 An Area for Innovation.94.3 Responsible AI Integration.95 Beyond the Horizon:Final Insights and Future.106 Solutions for First Respons
14、e and Public Safety.107 AirHub.11Reference List.12AirHub Software&Consultancy www.airhub.app Prepared&Written by Pontus HenningssonAI&Drones White Paper1 IntroductionThe use of drones has increased rapidly in recent years and is being employed in variousdifferent domains and situations,ranging from
15、agriculture and visual inspection of infras-tructure,to the mapping and surveying of land to the delivery of goods.First response,in particular,is an area where drones are being utilized to a greater extent.A growingamount of public safety authorities are opting to use drones as part of their operat
16、ions toobtain improved situational awareness and provide an efficient,well-informed,responseto an array of different situations.More and more first responders are employing dronesas a first responder,a so-called Drone as First Response(DFR),where drones arrive on thescene to gather intel before huma
17、n responders arrive themselves.Drones are now em-ployed for search and rescue missions for finding missing people,for gathering situationalawareness to inform and support units on the ground,to the surveillance of large gather-ings of people as well as the monitoring of important areas.Drones have i
18、ndeed become an integral part of first response and public safety.In theUnited States alone,over 1400 police departments are actively using drones in their op-erations 1;a number expected to increase steadily as drones become more advancedand their capability to leverage other emerging technologies,
19、such as AI,expands.Addi-tionally,as regulations for beyond visual line of sight(BVLOS)operations become easierfor first responders and public safety authorities to obtain waivers and DFR becoming in-creasingly adopted,the use is expected to rise.Concurrently with the rise of drones,the use and accep
20、tance of artificial intelligence(AI)has increased steadily in a whole host of different contexts-and drones are no excep-tion.Today,AI is successfully integrated into drones,primarily using computer visionthrough the camera(s)equipped on drones.AI employed in drones,among many otherthings,allows for
21、 police to automatically count and monitor large crowds at public eventsfor surveillance,detect the type of fire and potential hotspots of fire for firefighters,au-tomatically detect and track missing people in challenging environments for search andrescue,identify defects in critical infrastructure
22、 or even identify individuals through facialrecognition.Despite its promise,the use of AI together with drones is currently not widespread indrone operations for first response and public safety.This white paper aims to provide anoverview from the perspective of fleet management systems of the curre
23、nt state of AI anddrone integration for first response and public safety,investigating its potential and chal-lenges as identified by professionals.With insights obtained from a detailed analysis ofthe market and in-depth interviews with practitioners in the field,this document exploresdesired AI fu
24、nctionalities,its expected impact on operations,current limitations to im-plementation along with development preferences.By combining the findings of the mar-ket analysis and interviews,this white paper seeks to outline a clear vision for the use ofAI together with drones for first response and pub
25、lic safety-and why AirHub is the fleetmanagement system to facilitate this.1AI&Drones White Paper2 Background and Market AnalysisFor the analysis of the market,36 companies related to drones or AI integration in dronesfrom all over the globe were analyzed.The market analysis consisted of different t
26、ypes ofcompanies with different focus areas.This includes companies that create so-called fleetmanagement system,which is software made to streamline and effectivize the drone op-erator and its organisations workflow and compliance.This comprises flight managementand in-flight features like remote c
27、ontrolling of the drone and real-time video live stream-ing from the drones equipped camera,as well as mission planning,documentation andcompliance to ensure drone health and conformity with flight regulations.Companies thatcreate AI solutions used in drones are also analysed in the market analysis.
28、These typesof companies offer a range of services including data annotation,model training,and end-to-end AI integration.These companies are often used as a third-party developer,for in-stance employed by a fleet management system to provide AI functionalities as a built-infeature of the fleet manag
29、ement system.Additionally,drone manufacturers are also partof the market analysis,which are companies that,among other things,mainly manufac-ture drones and corresponding software.Figure 1 displays the location by country of com-panies in the market analysis.Figure 1:Companies Location by Country on
30、 a World MapNine different countries are represented in the market analysis,and the most representedcountry is undoubtedly the United States with more than half of the 36 companies in themarket analysis hailing from the United States,and only two companies not from the”Western-world”,in this case tw
31、o Chinese companies.The U.S.is the second biggest country on theglobal drone market,trailing China 2.The omission of most Chinese companies is notby accident,and as will be touched upon-where something is made or operates from isbecoming increasingly important in the world of drones and drone softwa
32、re,especiallywhen handling sensitive data which is often the case for first responders and public safetyauthorities.2AI&Drones White PaperWhile the sky is literally the limit for AI integration in drones,frequent examples of AIfunctionality relevant for use in first response and public safety operat
33、ions are displayedin Table 1,and an interesting pilot project and example of potential use AI integrated withdrones is discussed below.Table 1:Examples of AI Functionality for DronesFunctionalityDescriptionObject DetectionEnables drones to automatically identify humans and objects,such as cars,boats
34、,etc.Object TrackingAllows drones to follow a target,even as it moves or changesdirection.Object CountingEnables the counting of people or objects in a given area.License PlateRecognitionIdentifies and tracks vehicle plates automatically,similar totraffic camera plate recognition.Facial RecognitionD
35、etects and identifies individuals by scanning their facial fea-tures and matching them with a database.Fire and Smoke De-tectionIdentifies fire and smoke,determines the type of fire,and iden-tifies potential hotspots.A prominent example of AI integration in practice with AI functionality for first r
36、esponseis the SENSE pilot project by CityMesh/Cegeka 3,4,currently being trialed by firefightersin Belgium.This project sets out to deploy 70 Drone-in-a-Box(DiaB)units equipped withAI functionality and create a nationwide drone grid.Upon receiving an emergency call,the nearest DiaB dispatches within
37、 15 minutes,autonomously flying to the scene.Thedrones transmit 4K images and real-time video via 5G network to Belgiums emergencycenters.AI functionalities allow these drones to detect fires,assess fire types,identifyfire hotspots,predict smoke plume travel,and detect individuals and specific objec
38、ts.These functionalities enhances the ability of responders to efficiently and accurately as-sess emergency situations,improving response and potentially saving lives.Another example of the use of AI with drones is illuminated by DeLillo(2023)of the U.S.Coast Guard 5.While the U.S.Coast Guard does n
39、ot currently employ any AI functional-ity together with drones as part of their search and rescue strategy,there is an increasedinterest in using AI together with drones for improving search and rescue operations.Ac-cording to DeLillo,AI-integrated drones could reduce operational costs and safety ri
40、sks byoperating in harsh weather and remote locations where human intervention is dangerous.AI can act as a copilot,reducing cognitive load and remains cognizant no matter the dura-tion or strain of the operation.Additionally,AI provides the search and rescue crew withreal-time data with situational
41、 awareness and can even automatically detect a missingperson in the water,leading to a quicker response.3AI&Drones White Paper2.1 Lots of Potential-Not a Lot AvailableAs exciting and promising as the above examples are,the keyword is just that-promising.The market analysis reveals that the offerings
42、 of AI for drones on the market is still limitedbut holds significant potential for first response and public safety applications.Compa-nies are beginning to explore and conduct pilot projects using AI functionalities,such asobject detection and tracking,primarily through collaborations and third-pa
43、rty solutions.The current offerings of AI functionality by fleet management system companies for firstresponse and public safety are however slim.The majority of fleet management systemsin the market analysis do not offer any AI functionality as part of their system whatsoever.Some fleet management
44、system companies do offer AI functionalities in some capacity.The majority of these companies offering some form of AI functionality,however,do soby offering the possibility of integrating AI into their fleet management system-not ac-tually providing it as part of their system.What this means in pra
45、ctice,is that the user ofthe fleet management system either needs to develop their own AI functionality and thenintegrate it into the fleet management system themselves using the systems SDK,or em-ploy a third-party developer to do this.This has lead to a lack of offerings of AI function-ality for d
46、rones on the market in the realm of first response and public safety.This is notdue to disinterest by first responders and public safety authorities,but rather caused byan absence of accessible,ready-to-use AI functionalities offered as part of fleet manage-ment systems readily available on the mark
47、et focused towards first response and publicsafety.The market analysis finds that AI functionality used in fleet management systems is typ-ically developed by a third-party,while developing in-house can have its benefits.In-house development offers customization and control,while outsourcing provide
48、s speedand specialized expertise.If a fleet management system company,for instance,lacks suf-ficient in-house AI knowledge,leveraging third-party solutions can effectively integrateadvanced AI functionalities.Given the lack of fleet management systems offering built-inAI functionalities,vying compan
49、ies would do well to implement these capabilities effi-ciently and reliably to differentiate themselves from competitors,and more importantly-to enhance first response and public safety operations.There also appears to be a general shift within the drone space towards increased safetyand data securi
50、ty.DJI has come under increased scrutiny in recent years from withinthe drone industry 6 as well as by lawmakers 7,8,9.In an increasingly unsafe world,increased emphasis on securing sensitive information and where something is from orbased is likely to have impact on drone software standards as well
51、,and software providersneed to ensure that security and safety standards are up to par to accommodate theseneeds.In general,market trends indicate a growing interest in AI for drone use by both compa-nies and users like first responders and public safety authorities.Despite being in theearly stages,
52、the integration of AI presents an exciting opportunity for companies to dif-ferentiate themselves by employing AI technology as part of their fleet management sys-tems,aiding first response and public safety drone operations.4AI&Drones White Paper3 Interviews:Insights from ProfessionalsAs found in t
53、he market analysis,the technology for integrating AI with drones is out thereand readily available,but is currently underutilized in this domain and can provide help-ful features for enhancing drone operations for first response and public safety.In orderto obtain actionable insights for the integra
54、tion of AI with drones and get the perspec-tives and needs of first responders and public safety authorities,five practitioners in thesefields who use drones in their daily operations were interviewed.The respondents inter-viewed included professionals from different organizations across Europe and
55、North/Cen-tral America,ranging from law enforcement,coastal search and rescue,and public safetyin prisoner transportation and custody.The interviews were designed to explore the real-world experiences of these practition-ers,focusing on their current use of drones,and its benefits and challenges.Que
56、stionsexplored the respondents use and perspectives on AI integration with drones,includingdesired AI functionalities and development preferences.The interviews also briefly dis-cuss related emerging technologies such as 5G telecommunications and Drone-in-a-Boxsolutions,as well as the respondents vi
57、sion for future drone and AI integration.Each in-terview averaged about 29 minutes in length.After conducting the interviews,informativetext segments and phrases were categorized and analyzed to identify the perspectivesand needs of the first responders and public safety professionals.Figure 2 displ
58、ays a visual representation of the most important and frequently used wordsin the interviews.Perhaps unsurprisingly,the word”drone”and”use”are the largest wordsin the word cloud-signaling their frequent mention in the interviews.However,whenlooking more closely at the word cloud and indeed by analyz
59、ing the interviews,more in-sights can be obtained with the key takeaways from the interviews presented on the nexttwo pages.Figure 2:Word Cloud of the Interviews5AI&Drones White PaperBenefits of Using Drones for First Response and Public SafetyRespondents cited several key benefits of using drones i
60、n first response and public safetyoperations.Drones provide fast response times and enhanced situational awareness,in-creased surveillance and comprehensive monitoring.They reduce risks for personnel byaccessing areas that are unsafe or difficult for humans.The use of drones is widespreadamong respo
61、ndents,with cited use cases ranging from police tracking a suspected stolenvehicle,coastal search and rescue missions finding missing people in the water,to moni-toring big gatherings of people,such as demonstrations or political campaigns.Challenges of Using Drones for First Response and Public Saf
62、etyThe primary challenges identified by respondents include navigating regulatory frame-works and managing airspace access,for instance the complexities of flight laws or ob-taining BVLOS waivers.The resource-intensive nature of drone operations is another sig-nificant challenge,as operators need ex
63、tensive training to pilot drones and interpret thecollected data.Technical issues,such as unreliable systems,also hinder operations.Main-taining a safe and operational drone fleet is vital yet often undervalued,which requirescomprehensive training and reliable technology.Another challenge is the use
64、 of DJI dronesand their link to the Chinese government.Nearly all respondents use DJI drones exclu-sively due to their high quality and low price,but security concerns about DJI have ledrespondents to mitigate risks by using software,like AirHub,to bypass DJIs servers,andsome respondents plan to pha
65、se out their DJI drones in the coming years.Current Use of AI in Drone OperationsAI use in drone operations among respondents is limited.Only one out of the five re-spondents use AI in their operations,by occasionally employing the DJI Matrices built-in tracking software,but criticizes its reliabili
66、ty and usefulness.Despite limited use,allrespondents express significant interest in AI,with some actively trialing and evaluatingdifferent AI functionalities.The respondents hold a cautionary approach,however,high-lighting that AI functionalities must first show its accuracy,reliability and securit
67、y beforeimplementation into operations on a wider scale.Expected Changes of AI to OperationsWhile all respondents are actively interested in AI,opinion is divided on the impact AI willhave on operations in the near future.Some respondents see the expected impact of AIto be momentous through increase
68、d automation and enhanced in-flight capabilities likesophisticated object detection and tracking,especially in challenging conditions.Otherrespondents have a more cautionary attitude and do not think AI will change the way theiroperations are conducted,but that it will likely enhance them.Despite ex
69、pected changes through AI integration,respondents maintain that human over-sight remains crucial to ensure safety and responsibility,with AI acting as a co-pilot thatcan always be controlled by a human when needed.Respondents expressed concernsabout AI introducing noise in image interpretation and e
70、mphasized the need for clear,tangible benefits before widespread adoption of AI into drone operations.Additionally,ethical considerations,especially for functionalities like facial recognition,must be ap-proached with ethics and operational value in mind.Respondents highlight that AI shouldenhance f
71、irst response and public safety,but without infringing on citizens rights.6AI&Drones White PaperDesired AI FunctionalitiesObject detection and tracking are considered as fundamental AI functionalities,enablingdrones to automatically identify and follow targets,especially vital in challenging envi-ro
72、nments.Object counting,though secondary,is viewed as convenient and helps monitorcrowds and gather data.License plate recognition is also deemed useful but secondary.Facial recognition,while acknowledged as undeniably valuable for identifying criminals,raises ethical and privacy concerns and is,at t
73、he moment at least,too controversial andlacks ethical approval to be considered for use in the near term future.Fire and smokedetection is viewed as secondary,where thermal imaging can already fill this function.The most important AI functionalities as deemed by the respondents is that of object de-
74、tection and tracking,with the remaining AI functionalities viewed as useful,but not nec-essarily crucial features for drone operations in terms of AI use at the moment.Development Preferences for AIMost respondents prefer AI functionalities from a third-party,favoring a plug-and-playapproach.The res
75、pondents generally do not have the necessary resources and expertisewithin their organization to create and maintain their own AI functionality,thus preferringto source it from a third-party vendor instead.Respondents do,however,desire optionsto tailor AI functionalities to their specific needs with
76、out needing to code or train AI mod-els themselves.Collaboration and communication with software providers is requestedby the respondents to ensure that AI solutions meet operational requirements.One re-spondent showed interest in developing their own AI models while acknowledging theefficiency of t
77、hird-party solutions,expressing ambitions for developing AI functionalityinternally within their organization.Future Vision for AI in Drone OperationsRespondents envision a future where AI significantly enhances drone operations throughincreased situational awareness,automation,and integration with
78、other emerging tech-nologies.AI facilitates accurate and reliable object detection and tracking,reducing man-ual workload,and enhancing overall efficiency and safety.Increased automation will stream-line routine tasks,while also aiding more complex tasks,acting as a co-pilot that neversuffers human
79、fatigue.Respondents anticipate BVLOS operations and Drone-in-a-Box(DiaB)networks workingin conjunction with AI.Improved telecommunications technology,like 5G,is viewed asimportant for ensuring reliable connectivity no matter the geographical location of the op-eration.This vision includes efficient,
80、safe and consistent drone operations for first re-sponse and public safety,where AI is playing an important role in achieving these goals.Current use of AI in drone operations among respondents is minimal,with only one re-porting occasional AI use.There is,however,significant interest in integrating
81、 AI withdrones to enhance operations through accurate and reliable object detection,tracking,and improved situational awareness.Respondents also highlight the importance of eth-ical implications,maintaining high reliability and safety standards,along with a human-in-the-loop during operations to ens
82、ure safe,reliable and effective AI functionalities andoperations.7AI&Drones White Paper4 Synthesis&DiscussionBoth the market report and interview findings unveil significant interest in integrating AIwith drones for first response and public safety,yet highlights the current limitations inavailable
83、AI functionalities.The market analysis indicates that while there is substantialpotential for AI-driven enhancements for drone use,the current offerings on the mar-ket are sparse and often limited to pilot projects or cumbersome third-party integration.Similarly,interviews with first responders and
84、public safety professionals underscore ademand for AI functionalities,especially object detection and tracking.The interviewsalso note the lack of readily accessible and reliable AI solutions,with respondents cur-rently trialing AI functionalities but requiring them to be accurate and reliable befor
85、e widespread implementation.4.1 Common FindingsOther common findings identified in both market analysis and interviews include:Fast and Reliable AI IntegrationThe market analysis and interviews both show the need for AI functionality that can beeasily integrated into existing systems.Fleet managemen
86、t system companies in the mar-ket analysis as well as the first responders and public safety professionals interviewed of-ten lack the necessary resources for developing their own AI functionality in-house.Thishighlights the important role of potential outsourcing by fleet management system com-pani
87、es to efficiently,and through outsourced expertise from companies specialized in AIdevelopment,integrate AI functionalities as part of their fleet management system andoffer this as part of the system to first responders and public safety authorities.Enhanced Situational Awareness and EfficiencyBoth
88、 the market report and interviews emphasize the possibilities for AI to improve sit-uational awareness through advanced functionalities like real-time object detection andtracking.AI can help streamline drone operations,reduce manual workloads,and en-hance overall operational efficiency,especially i
89、n complex or dangerous situations andenvironments.Security and PrivacyA recurring theme is the concern over data security,especially for the use of Chinese-manufactured drones like DJI.As found in the market analysis,lawmakers and indus-try have both taken steps to counteract DJIs dominance,citing s
90、ecurity concerns.Thisis mirrored in the interviews,where all respondents describes the use of DJI as secu-rity concern,although there is disagreement as to how large a concern this is.Nonethe-less,there is a tendency towards moving away from DJI and Chinese drones,and this in-creased emphasis on sec
91、urity is likely to influence the safety of drone software used aswell.As first response and public safety often deals with sensitive data,the AI function-ality and other software services employed,like a fleet management system,needs tocorrespond to these changes in attitude and provide rigorous dat
92、a safety and security.8AI&Drones White Paper4.2 An Area for InnovationFleet management systems can play a pivotal role for providing AI-driven drone solutionsto first response and public safety professionals by focusing on several key areas:1.Integrate Comprehensive AI Functionalities:Integrate AI f
93、eatures,such as real-time object detection and tracking,tailored to the needs of first responders into fleetmanagement systems,allowing for all drone operations to run through one,coherentsystem that supports everything from the planning,flying and the reporting of droneoperations-and everything in
94、between.This provides user-friendly,plug-and-playAI solutions incorporated into existing fleet management systems without requiringextensive technical know-how by users.2.Ensure Data Security:Implement advanced security protocols and offer secure datahandling solutions,for instance secure data modes
95、 through VPN-connections or offeron-premise software solutions,to alleviate concerns over using foreign technologyand staying proactive to changes in security requirements and regulation.3.Leverage Emerging Technologies:Explore the integration of AI with other emerg-ing technologies like 5G and Dron
96、e-in-a-Box solutions to allow for fleet managementsystems to significantly improve the effectiveness and efficiency of drone operationsfor first responders and public safety authorities,setting a new standard in the indus-try while simultaneously improving the safety of the public.4.3 Responsible AI
97、 IntegrationWhile the integration of AI with drones undeniably holds promise for enhancing first re-sponse and public safety drone operations,the integration needs to be done responsiblyand fleet management systems should:1.Prioritize Ethical Considerations:AI functionalities,especially more controv
98、ersialones like facial recognition,should be implemented with ethics and usefulness inmind.AI functionalities should provide operational value and tangible benefits,in-crease drone operations and not encroach on citizens rights.2.Ensure Human Oversight:Maintain a human-in-the-loop approach to ensure
99、 thatAI acts as support rather than a complete replacement for human judgment.Hu-man oversight and indeed responsibility is needed at all times to ensure not only thesafety,but also legality of drone operations.3.Focus on Reliability and Accuracy:Invest in highly reliable and accurate AI solu-tions
100、for integration that meet the demands of first response and public safety droneoperations.Despite the current hype of AI,its usefulness must be clear and consis-tent to justify its usage,and well-trained drone operators still outperform AI in manyaspects of drone operations due to AIs current unreli
101、ability in certain applications.4.Collaborate with Stakeholders:Engage in continuous dialogue with first respon-ders and public safety professionals to ensure that the offered AI functionalities arealigned with their practical needs and challenges.9AI&Drones White Paper5 Beyond the Horizon:Final Ins
102、ights and FutureThis white paper highlights the increasing availability of AI integration with drones and thekeen interest among first responders and public safety professionals in leveraging thesetechnologies to enhance their operations.However,the primary challenge remains thelimited market offeri
103、ngs and the complexity of integrating AI into current systems.Considering the general lack of expertise among the interviewed first responders andpublic safety professionals for developing and integrating their own AI functionalities,aneffective way to to realise AI integration into drone operations
104、 is for fleet managementsystems to integrate AI functionalities as part of their system as built-in features.The re-spondents interviewed generally preferred their AI functionality plug-and-play,meaningthat adding AI functionality to an already existing fleet management system is an efficientway for
105、 first response and public safety to easily gain access to AI functionality and en-hance operations.The transformative potential of AI in drone operations for first responders and publicsafety is extensive.AI can significantly enhance situational awareness,automate rou-tine tasks,and improve overall
106、 operational efficiency and safety.By addressing currentmarket gaps and providing user-friendly,integrated AI functionality,the effectiveness andefficiency of drone operations can be greatly enhanced.The future of AI and drones ispromising,with opportunities for innovation and improvement on the hor
107、izon,paving theway for safer,more efficient,and effective first response and public safety operations.6 Solutions for First Response and Public SafetyFirst responders and public safety authorities are encouraged to adopt AI-enhanced dronesolutions to improve the effectiveness and safety of their ope
108、rations.Leveraging AI tech-nologies can transform drone operations,providing enhanced situational awareness,au-tomation,and operational efficiency.AirHub is prepared to assist organizations in this transition by offering a comprehensivefleet management system integrated with advanced AI functionalit
109、ies.Our solutions aretailored to meet the specific needs of first responders and public safety authorities,facili-tating reliable,secure,and effective drone operations.By integrating AI with our fleet management system,first responders and public safetyprofessionals have all their drone operation ne
110、eds packed within one software system,ranging from the planning of missions,to advanced in-flight features like AI object detec-tion and remote controlling through live-stream feeds,to logging and reporting of mis-sions to ensure compliance with regulations-all your drone operation needs are right a
111、tyour fingertips with AirHub.10AI&Drones White Paper7 AirHubAirHub is a Dutch-based drone software&consultancy company that knows unmannedaviation is as serious as manned aviation.Its our goal to safely and efficiently integratedrones into our society by bringing the best drone solutions to companie
112、s and authoritiesthrough innovative software and services.By connecting drones to the enterprise throughour software and consulting services we want to deliver on the full potential of drones.Bycreating a fleet management system,AirHub allows drone operators to log and report theirdrone missions wit
113、hin the software,ensuring that the drone operators follow the relevantregulations,laws and best practices for drone operations.This also includes monitoringof drone health and maintenance to safeguard the drones and relevant equipments qual-ity and longevity.Additionally,AirHub offers in-flight serv
114、ices for drone operators,suchas providing a live-stream feed of what the drones camera is currently seeing,AI objectdetection of objects and persons in real-time,remote controlling of the drone,secure datamode to protect sensitive data when flying and much,much,more.At the moment,AirHub is looking t
115、o expand on its currently available AI functionality ofobject detection and aims to include other useful AI functionalities as part of its soft-ware.By leveraging AI,the effectiveness of drones can be enhanced and routine taskscan be automated,insights unobtainable by a human can be collected and dr
116、one opera-tions made more efficient.AirHub is part of the Dutch Drone Delta 10,a collaborationbetween organisations and government authorities to further develop the Dutch droneindustry.AirHub has recently received additional funding for future expansion and devel-opment 11.Want to know more?Contact
117、 us at infoairhub.nl,visit our website at airhub.app and fol-low us on LinkedIn,Youtube and Twitter(now X)to stay up to date with the latest updatesfrom AirHub.11AI&Drones White PaperReference List1Jay Stanley.Eye-in-the-Sky Policing Needs Strict Limits.https:/www.aclu.org/documents/eye-in-the-sky-p
118、olicing-needs-strict-limits.American Civil Liberties Union,2023.2Drone Industry Insights.Drone Manufacturers Ranking 2023.Report.Drone Industry Insights,2023.3Citymesh.Worlds First:Belgian Citymesh Helps Save Lives with DroneShield.https:/ Responders get co-pilots in the shape of AI-powereddrones.20
119、23.URL:https:/ DeLillo.“The Coast Guard Must Use Unmanned Aerial Systemsand AI in Search and Rescue”.In:Proceedings 149.7/1,445(2023).URL:https:/www.usni.org/magazines/proceedings/2023/july/coast-guard-must-use-unmanned-aerial-systems-and-ai-search-and.6ASUVI.AUVSI Partnership for Drone Competitiven
120、ess.White Paper.Association for Uncrewed Vehicle Systems International,2022.7United States Congress.National Defense Authorization Act for FiscalYear 2020.Public Law 116-92.Available online:https:/www.congress.gov/116/plaws/publ92/PLAW-116publ92.pdfaccessed 2020/02/26.2019.8Bureau of Industry and Se
121、curity,Department of Commerce.Additionof Entities to the Entity List,Revision of Entry on the Entity List,and Re-moval of Entities from the Entity List.https:/www.federalregister.gov/documents/2020/12/22/2020-28031/addition-of-entities-to-the-entity-list-revision-of-entry-on-the-entity-list-and-remo
122、val-of-entities.2020.9Department of Homeland Security.Blue UAS for First RespondersTechnology Note.Technology Note.Department of Homeland Secu-rity,2023.URL:https:/www.dhs.gov/sites/default/files/2023-08/23_0825_st_blueuasforfirstresponderstn.pdf.10Dutch Drone Delta.Home Page.https:/www.dutchdronedelta.nl/.2024.11AirHub.Lumo Labs&Lumaux Funding Announcement.https:/