Method and system for capturing and storing significant surveillance images
A method and system for capturing and filtering surveillance images are described. A processor detects motion of an object in a field of view and then generates a plurality of images in response to detecting motion of the object in the field of view. A first filter is then applied to the plurality of images and later, the one or remaining images based on the first filter are stored in a memory device. In response to a triggering event, an energy conserving processor is activated from a sleep mode of operation where the energy conserving processor applies a second filter to the remaining images from the first filter. The energy conserving processor assigns a confidence score to one or more images matching the second filter. With the second filter, the energy conserving processor selects fewer images for RF transmission to a remote image analyzer, resulting in increased power savings.
1. A computer-implemented method for capturing and filtering surveillance images, wherein a processor performs the function of:
detecting object motion in a field of view;
generating multiple images based on the detected object motion;
creating a reduced set of images by applying a first filter, wherein the reduction is carried out by removing duplicate images after comparing images captured by the prior detection of motion of the object;
storing the reduced set of images;
determining whether an energy conserving processor needs to be woken up based on one of two conditions, one of which is a predetermined amount of time and the other one of which is an amount of storage capacity for the reduced set of images;
wherein the energy conserving processor upon activation applies a second filter to the previously reduced set of images and assigns a confidence score based on the matching of one or more images to the second filter; and
transmitting the one or more images matching the second filter over a computer network.
2. The computer-implemented method of claim 1 , wherein the first filter comprises a difference comparison among the plurality of images.
3. The computer-implemented method of claim 1 , wherein the second filter comprises a filtering algorithm based on a neural network.
4. The computer-implemented method of claim 1 , further comprising the energy conserving processor transmitting the one or more images matching the second filter over a cellular telephone network.
5. The computer-implemented method of claim 1 , wherein the object comprises a vehicle.
6. The computer-implemented method of claim 5 , wherein the vehicle has a license plate.
7. The computer-implemented method of claim 1 , wherein the one or more images matching the second filter are transmitted over the computer network to a remote image analyzer.
8. The computer-implemented method of claim 7 , wherein the remote image analyzer determines one or more image settings based on the one or more images matching the second filter.
9. The computer-implemented method of claim 3 , wherein the remote image analyzer determines one or more updates for weightings used in the neural network.
10. A computer-implemented system for capturing and filtering surveillance images, the computer-implemented system comprising:
means for detecting an object motion in a field of view;
means for generating multiple images based on the detected object motion;
means for creating a reduced set of images by applying a first filter, wherein the reduction is carried out by removing duplicate images after comparing images captured by the prior detection of motion of the object;
means for storing the reduced set of images;
means for determining whether an energy conserving processor needs to be woken up based on one of two conditions, one of which is a predetermined amount of time and the other one of which is an amount of storage capacity for the reduced set of images;
wherein the energy conserving processor upon activation applies a second filter to the previously reduced set of images and assigns a confidence score based on the matching of one or more images to the second filter; and transmits the one or more images matching the second filter over a computer network.
11. The computer-implemented system of claim 10 , wherein the first filter comprises a difference comparison among the plurality of images.
12. The computer-implemented system of claim 10 , wherein the second filter comprises a filtering algorithm based on a neural network.
13. The computer-implemented system of claim 10 , wherein the energy conserving processor transmits the one or more images matching the second filter over a cellular telephone network.
14. The computer-implemented system of claim 10 , wherein the object comprises a vehicle.
15. The computer-implemented system of claim 14 , wherein the vehicle has a license plate.
16. A system for capturing and filtering surveillance images, the system comprising:
a device for detecting an object motion in a field of view;
a camera module for generating multiple images based on the detected object motion, and for creating a reduced set of images by applying a first filter, wherein the reduction is carried out by removing duplicate images after comparing images captured by the prior detection of motion of the object;
a memory device for storing the reduced set of images;
a logic module determining whether an energy conserving processor needs to be woken up based on one of two conditions, one of which is a predetermined amount of time and the other one of which is an amount of storage capacity for the reduced set of images;
wherein the energy conserving processor upon activation applies a second filter to the previously reduced set of images and assigns a confidence score based on the matching of one or more images to the second filter; and transmitting the one or more images matching the second filter over a computer network.
17. The system of claim 16 , wherein the first filter comprises a difference comparison among the plurality of images.
18. The system of claim 16 , wherein the second filter comprises a filtering algorithm based on a neural network.
19. The system of claim 16 , wherein the energy conserving processor transmits the one or more images matching the second filter over a cellular telephone network.
20. The system of claim 16 , wherein the logic module comprises a digital signal processor.