Robotic post
A semantic sensing system includes a processor, a memory, a plurality of wireless communication enabled devices and at least one sensing element, the memory storing a plurality of mapped endpoints wherein the processor is configured to apply semantic drift or entropy to determine non-affirmative circumstances based on inputs from the at least one sensing element to cause the system to perform semantic augmentation towards a first endpoint supervisor in relation with the non-affirmative determinations.
1 . A semantic sensing system, comprising:
a memory storing a plurality of endpoints associated with physical locations;
the memory further storing a first identity of an assigned first supervisor of a first endpoint among the plurality of endpoints;
at least one sensor;
the memory further storing at least one intrinsic semantic associated with an object type, the intrinsic semantic further indicating a purpose of the object type;
at least one processor and a computer program operable by the at least one processor to cause the at least one processor to detect a first object of a first object type at the first endpoint from among the plurality of endpoints based on one or more inputs from the at least one sensor;
the computer program further being configured to cause the at least one processor to infer a first semantic at the first endpoint based on the one or more inputs from the at least one sensor; and
wherein the system generates semantic augmentation based on a determination that the first inferred semantic is non-affirmative by having a high entropy with respect to the intrinsic semantic, wherein the semantic augmentation is directed to the assigned first supervisor based on the first identity.
2 . The semantic sensing system of claim 1 , wherein the intrinsic semantic is configured by the first endpoint supervisor.
3 . The semantic sensing system of claim 1 , wherein the intrinsic semantic is associated with a semantic time.
4 . The semantic sensing system of claim 1 , wherein the system infers a counter-measure and applies it to reduce the high entropy between the intrinsic semantic and subsequent inferred semantics based on the inputs from the at least one sensor.
5 . The semantic sensing system of claim 1 , wherein the system infers an affirmative measure and applies it to cause an affirmative entropy between the intrinsic semantic and subsequent inferred semantics based on the inputs from the at least one sensor.
6 . The semantic sensing system of claim 5 , wherein the system determines that the high entropy between the intrinsic semantic and subsequent inferred semantics based on the inputs from the at least one sensor is within a likeable interval.
7 . The semantic sensing system of claim 6 , wherein the likeable interval is associated with a semantic time.
8 . The semantic sensing system of claim 6 , wherein the likeable interval is associated with an affirmative semantic.
9 . The semantic sensing system of claim 1 , wherein the intrinsic semantic is determined based on web content parsing.
10 . The semantic sensing system of claim 1 , wherein the intrinsic semantic is determined based on an operating manual parsing.
11 . The semantic sensing system of claim 1 , wherein the first semantic is inferred based on a non-affirmative flow orientation associated with mass or population pooling.
12 . The semantic sensing system of claim 11 , wherein the pooling is associated with liquid pooling.
13 . The semantic sensing system of claim 1 , wherein the first semantic is inferred based on a non-affirmative orientation based on an input between a second endpoint and a third endpoint among the plurality of endpoints.
14 . The semantic sensing system of claim 1 , wherein the intrinsic semantic is indicative of a first activity.
15 . The semantic sensing system of claim 14 , wherein the purpose comprises an activity semantic.
16 . The semantic sensing system of claim 14 , wherein the first inferred semantic comprises a second activity and the determination that the first inferred semantic is highly entropic with the intrinsic semantic is based on a high entropy between the first activity and the second activity.
17 . The semantic sensing system of claim 1 , wherein the intrinsic semantic is indicative of an intrinsic orientation associated with the purpose.
18 . The semantic sensing system of claim 1 , wherein the at least one sensor comprises at least one optical sensor capturing electromagnetic radiation in the optical spectrum.
19 . The semantic sensing system of claim 1 , wherein the at least one optical sensor is an image sensor.
20 . A semantic sensing system, comprising:
a memory storing a plurality of mapped endpoints;
a plurality of wireless communication enabled devices, each of the devices comprising at least one wireless transceiver and at least one sensor;
the plurality of wireless communication enabled devices being associated with a first endpoint among the plurality of endpoints;
the memory further storing at least one intrinsic orientation associated with a first parameter at a first semantic time;
at least one processor and a computer program operable by the at least one processor to cause the at least one processor to determine that the first parameter as measured by the at least one sensor of a first device among the plurality of wireless communication enabled devices and the at least one sensor of a second device among the plurality of wireless communication enabled devices is non-affirmatively oriented in rapport with the intrinsic orientation of the first parameter at the first semantic time, wherein the first semantic time is based on an first semantic inferred based on an input from the at least one sensor of a third device among the wireless communication enabled devices; and
wherein the system performs semantic augmentation to a supervisor of the first endpoint among the plurality of endpoints based on the determination that the first parameter is non-affirmative oriented in rapport with the intrinsic orientation.
21 . The semantic sensing system of claim 20 , wherein the at least one sensor of the third device comprises an image sensor.
22 . The semantic sensing system of claim 20 , wherein the at least one sensor of the first device is a pressure sensor.
23 . The semantic sensing system of claim 20 , wherein the at least one sensor of the first device is a flow sensor.
24 . The semantic sensing system of claim 20 , wherein the at least one sensor of the first device is a piezo electric sensor.
25 . The semantic sensing system of claim 20 , wherein the first device and the second device are comprised by a pipe or attached to a pipe.
26 . The semantic sensing system of claim 20 , wherein the at least one sensor of the first device comprises at least one amongst an accelerometer, magnetometer, or gyroscope.
27 . The semantic sensing system of claim 20 , wherein the intrinsic orientation is inferred based on analyzing web content.
28 . The semantic sensing system of claim 20 , wherein the intrinsic orientation is inferred based on analyzing an image.
29 . The semantic sensing system of claim 20 , wherein the intrinsic orientation is inferred based on parsing a document.
30 . The semantic sensing system of claim 29 , wherein the intrinsic orientation is inferred based on parsing a manual.