A detection system (10) and a detection method (2000) are disclosed herein. The system includes a PIR sensor (12) positioned in an area comprising a plurality of sub-areas, the motion sensor comprising an optical device (22) having a plurality of sub-lenses (26, 28, 30), each sub-lens of the plurality of sub-lenses having a field of view (FOV) corresponding to a sub-area of the plurality of sub-areas. The system further includes at least one processor (32) coupled to the PIR sensor and configured to: activate the plurality of sub-lenses to generate a total sensor FOV comprising each FOV of the plurality of sub-lenses; and dynamically control the plurality of sub-lenses to subdivide the total sensor FOV, wherein the subdivided sensor FOV is smaller than the total sensor FOV.

A detection system (10) and a detection method (2000) are disclosed herein. The system includes a PIR sensor (12) positioned in an area comprising a plurality of sub-areas, the motion sensor comprising an optical device (22) having a plurality of sub-lenses (26, 28, 30), each sub-lens of the plurality of sub-lenses having a field of view (FOV) corresponding to a sub-area of the plurality of sub-areas. The system further includes at least one processor (32) coupled to the PIR sensor and configured to: activate the plurality of sub-lenses to generate a total sensor FOV comprising each FOV of the plurality of sub-lenses; and dynamically control the plurality of sub-lenses to subdivide the total sensor FOV, wherein the subdivided sensor FOV is smaller than the total sensor FOV.

A system for determining an occupancy of an environment is provided. The system may include an image sensor, a motion sensor, and a controller in communication with the image sensor and the motion sensor. The controller may be configured to generate an encoded image representation by encoding the image signal based on an autoencoder. The controller may be further configured to generate an encoded motion representation by encoding the motion signal based on the autoencoder. The controller may be further configured to train the autoencoder with the image signal and/or motion signal. The controller may be further configured to generate a fused representation based on the encoded image representation and the encoded motion representation. The controller may be further configured to determine the occupancy of the environment based on the fused representation. The occupancy of the environment may be determined by applying the fused representation to a machine learning module.

A system for determining an occupancy of an environment is provided. The system may include an image sensor, a motion sensor, and a controller in communication with the image sensor and the motion sensor. The controller may be configured to generate an encoded image representation by encoding the image signal based on an autoencoder. The controller may be further configured to generate an encoded motion representation by encoding the motion signal based on the autoencoder. The controller may be further configured to train the autoencoder with the image signal and/or motion signal. The controller may be further configured to generate a fused representation based on the encoded image representation and the encoded motion representation. The controller may be further configured to determine the occupancy of the environment based on the fused representation. The occupancy of the environment may be determined by applying the fused representation to a machine learning module.

The present disclosure relates to an intelligent and healthy lighting method and device for an office space micro environment. According to the present disclosure, high-illuminance light can be provided, according to periodic variations of human rhythms and characteristics of office time (i.e., lighting time control data), in the morning to increase rhythmic stimulation to improve alertness of office staff and working efficiency. In addition, the present disclosure effectively solves the problem that conventional lamps cannot meet the requirements of human rhythm health by setting a lighting method having multiple modes (i.e., an awake mode, a rest mode, a relax mode, a work mode, a night mode, and a silence mode) and multiple scenes (i.e., determining a lighting mode according to ambient light data, lighting time control data, and human posture data).

The present disclosure relates to an intelligent and healthy lighting method and device for an office space micro environment. According to the present disclosure, high-illuminance light can be provided, according to periodic variations of human rhythms and characteristics of office time (i.e., lighting time control data), in the morning to increase rhythmic stimulation to improve alertness of office staff and working efficiency. In addition, the present disclosure effectively solves the problem that conventional lamps cannot meet the requirements of human rhythm health by setting a lighting method having multiple modes (i.e., an awake mode, a rest mode, a relax mode, a work mode, a night mode, and a silence mode) and multiple scenes (i.e., determining a lighting mode according to ambient light data, lighting time control data, and human posture data).

Disclosed is an infrared sensor with a switch, and relates to the technical field of infrared sensing. The infrared sensor further comprises a key and a function switch, wherein the function switch is fixed on a substrate and close to the direction of a Fresnel lens, the key is installed on the Fresnel lens, the key is connected with the function switch, a user can press the key and control the function switch to work, and the function switch is electrically connected with the substrate and used for switching the working state. The infrared sensor with a switch is simple in structure and convenient to operate.

A theory and a technical foundation for building a technical framework of a color temperature tuning technology are disclosed, composing a power allocation algorithm and a power allocation circuitry, wherein the power allocation algorithm is a software for designing a process of dividing and sharing a total electric power between at least a first LED load emitting light with a first color temperature CT1 and a second LED load emitting light with a second color temperature CT2 to generate at least one paired combination of a first electric power X allocated to the first LED load and a second electric power Y allocated to the second LED load to create at least one mingled light color temperature CTapp thru a light diffuser according to color temperature tuning formulas CTapp=CT1.Math.X/(X+Y)+CT2.Math.Y/(X+Y) and X+Y=constant; and the power allocation circuitry is a hardware designed for implementing the process.

A theory and a technical foundation for building a technical framework of a color temperature tuning technology are disclosed, composing a power allocation algorithm and a power allocation circuitry, wherein the power allocation algorithm is a software for designing a process of dividing and sharing a total electric power between at least a first LED load emitting light with a first color temperature CT1 and a second LED load emitting light with a second color temperature CT2 to generate at least one paired combination of a first electric power X allocated to the first LED load and a second electric power Y allocated to the second LED load to create at least one mingled light color temperature CTapp thru a light diffuser according to color temperature tuning formulas CTapp=CT1.Math.X/(X+Y)+CT2.Math.Y/(X+Y) and X+Y=constant; and the power allocation circuitry is a hardware designed for implementing the process.

Method for the operation and expansion of a network of lights Described herein is method for the operation and the expansion of a network of lights, each light in the network including a control module which is assigned to a group, each control module being in communication with a group controller as well as control modules in the same group. The network can be expanded by installing new lights with their associated control modules (19), and each new control module scans its environment and transmits environmental information to a central server (20) where the environmental information is analysed and the new control modules are allocated into groups (21). After allocation to a group in which control modules may be moved from one group to another or a new group is formed, the new control modules are available for normal operation. This process is repeated for each new light and associated control module.