Public:ARHUDFM Manifesto: Difference between revisions
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!Notes | !Notes | ||
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| rowspan=" | | rowspan="6" |Machine perception | ||
| | | [[Public:Applications#CVC%20(Computer%20Vision%20Control)|CVC]] | ||
| | | ML-based image perception and recognition, user attention control | ||
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| | |[[Public:Applications#CAC%20(Computer%20Audition%20control)|CAC]] | ||
| | |ML-based audio perception and recognition, user attention control | ||
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|[[Public:Applications#STT%20(Speech-to-text)|STT]] | |[[Public:Applications#STT%20(Speech-to-text)|STT]] | ||
|user | |user pronounce recognition | ||
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|[[Public:Applications#SDRS%20(SDR%20Scan)|SDRS]] | |||
|RF scanning can run in the background and contact the user in case of threats or the need to make a decision, uses ML to detect and recognize the RF graphic shape of 2D / 3D spectrum, waterfall patterns for signals, and multiple carriers, [[Public:Applications#TSK%20(Tasks)|TSK]] integrated | |||
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|[[Public:Applications#RFDD%20(RF%20Drone%20detection%20control)|RFDD]] | |||
|uses ML algorhitms to identify the type of threat by comparing different RF patterns, [[Public:Applications#CVC%20(Computer%20Vision%20Control)|CVC]] and [[Public:Applications#CAC%20(Computer%20Audition%20control)|CAC]] integrated | |||
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|[[Public:Applications#EODD%20(RF%20EOD%20detection%20control)|EODD]] | |||
|ML-based RF scan modes, [[Public:Applications#CVC%20(Computer%20Vision%20Control)|CVC]] integrated | |||
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| rowspan=" | | rowspan="12" |Machine analysis | ||
| [[Public:Applications# | | [[Public:Applications#TESS%20(Voice%20assistant)|TESS]] | ||
| | | voice assistant, [[Public:Voice User Interface|VUI]] support incl. apps control | ||
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|[[Public:Applications#TSK%20(Tasks)|TSK]] | |||
|creation and auto-completion of auto-tasks, task management assistance, BMS and L-STE integrated | |||
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|[[Public:Applications#NAV%20(Navigation)|NAV]], [[Public:Applications#PATH%20(Path%20tracking)|PATH]] | |||
|selecting the optimal route, position and position change; [[Public:Applications#TSK%20(Tasks)|TSK]], BMS and L-STE integrated | |||
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|[[Public:Applications#RPAC%20(Drone%20RC)|RPAC]] | |||
|ML-based control, autonomous planning and execution of the drone mission, [[Public:Applications#TSK%20(Tasks)|TSK]] integrated | |||
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| | |[[Public:Applications#ANLS%20(Mission%20analyzing)|ANLS]] | ||
| | |mission performance analysis integrated with existing BMS and L-STE systems | ||
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| | |[[Public:Applications#IFF%20(IFF%20control)|IFF]] | ||
| | |can assign the status, use optimal directional interrogation signal mode automatically, [[Public:Applications#TSK%20(Tasks)|TSK]] integrated | ||
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| | |[[Public:Applications#STM%20(Stealth%20modes%20control)|STM]] | ||
| | |can change the mode automatically | ||
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| | |[[Public:Applications#P2P%20(P2P%20%26%20Cloud%20Computing)|P2P]] | ||
| | |computing acceleration (p2p, FPGA/ASIC and CPU cores balancing), multi-user computing (p2p) | ||
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| | |[[Public:Applications#CHAT%20(Chat)|CHAT]] | ||
| | |mental clusterization, user auto-reply to the system and other users, automatic event messages | ||
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| | |[[Public:Applications#WGR%20(Workgroups)|WGR]] | ||
| | |automatic performance Intra-Domain and Cross-Domain Interaction rules; [[Public:Applications#CHAT%20(Chat)|CHAT]], [[Public:Applications#TSK%20(Tasks)|TSK]], BMS and L-STE integrated | ||
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| | |[[Public:Applications#SDR2%20(SDR%202-way)|SDR2]] | ||
| | |can change the mode automatically incl. digital data transmission at hopping frequencies (DEFH) | ||
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| | |[[Public:Applications#ANTC%20(Antennas%20control)|ANTC]] | ||
| | |automatic beam direction tracking, support up to 48 connections at the same time | ||
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| | | rowspan="4" |Machine attention | ||
| | | [[Public:Applications#TIPS (User tips)|TIPS]] | ||
| best practices from many users, rapid and best decisions | |||
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| | |[[Public:Applications#FA%20(Firing%20Assistance%20control)|FA]] | ||
| | |target selection and prioritization, fire correction, [[Public:Applications#TSK%20(Tasks)|TSK]] integrated | ||
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|[[Public:Applications#VM%20(Virtual%20mentor)|VM]] | |||
| [[Public:Applications# | |user AI-based virtual avatar, tactical exercises in L-STE, personal mentoring | ||
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|[[Public:Applications# | |[[Public:Applications#VBS%20(Vitals%20Body%20sensors%20control)|VBS]] | ||
| | |monitoring, warnings, resuscitation tips and auto-mode, [[Public:Applications#TSK%20(Tasks)|TSK]] integrated | ||
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| | | rowspan="2" |Machine memory | ||
| | | [[Public:Applications#TIPS (User tips)|TIPS]], [[Public:Applications#VM%20(Virtual%20mentor)|VM]] | ||
| ML-based, incl. remembering the best practices of many users | |||
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| | |[[Public:Applications#TRSL%20(Translater)|TRSL]] | ||
| | |context-aware machine translation | ||
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|} | |} | ||