7006923

Claims

• I claim: 1. A distributed biological hazard surveillance system comprising: a central processing assembly including means for receiving and transmitting data; and a plurality of detector assemblies disposed throughout a physical region under surveillance for capturing and identifying an airborne particle, each detector assembly including: an intake filter assembly disposed to accept a flow of air containing an airborne particle from the exterior of the detector assembly; a sampling chamber disposed to accept the flow of air and the airborne particle from the filter assembly; a fan disposed to move the air flow and the airborne particle through the intake filter assembly and across the sampling chamber; an optical stage disposed within the sampling chamber, including an electrostatic precipitator disposed to induce in the airborne particle an electrostatic charge sufficient to facilitate capture of the charged airborne particle, an optical assembly disposed to magnify the image of the captured particle, a flash optical source disposed to illuminate the optical stage with an optical pulse, and a digital camera disposed to capture the magnified image of the captured particle during the optical pulse; a processor including memory and processing means together with controlling and processing software for controlling the optical stage, for storing digital image data produced by the digital camera, for analyzing the digital image data to produce analysis data, and for processing and storing the analysis data; and a transmitter coupled to the processor for transmitting the analysis data to the central assembly. 2. The system of claim 1 further comprising: an optical stage examination surface disposed within the optical stage to capture the charged airborne particle. 3. The system of claim 2 further comprising: charge reversing means coupled to the electrostatic precipitator for inducing in the captured particle an electrostatic charge sufficient to repel the captured particle from the optical stage examination surface. 4. The system of claim 1 further comprising: a neural network disposed to accept the digital image data and to produce the analysis data representing an identification of the captured particle. 5. The system of claim 4 further comprising: a receiver coupled to the processor for receiving data representing a plurality of neural network weights. 6. The system of claim 1 further comprising: in the central processing assembly, a graphical user interface (GUI) disposed to accept instructions from a system user. 7. The system of claim 6 further comprising: a separate telemetric module disposed in communication with the central processing assembly to transmit data representing appropriate warnings of imminent threat to the physical region under surveillance, responsive to the analysis data. 8. The system of claim 1 further comprising: a separate telemetric module disposed in communication with the central processing assembly to transmit data representing appropriate warnings of imminent threat to the physical region under surveillance, responsive to the analysis data. 9. In a distributed biological hazard surveillance system including a central processing assembly including means for receiving and transmitting data to a plurality of such detector assemblies disposed throughout a physical region under surveillance, a detector assembly for capturing and identifying an airborne particle, the detector assembly comprising: an intake filter assembly disposed to accept a flow of air containing an airborne particle from the exterior of the detector assembly; a sampling chamber disposed to accept the flow of air and the airborne particle from the filter assembly; a fan disposed to move the air flow and the airborne particle through the intake filter assembly and across the sampling chamber; an optical stage disposed within the sampling chamber, including an electrostatic precipitator disposed to induce in the airborne particle an electrostatic charge sufficient to facilitate capture of the charged airborne particle, an optical assembly disposed to magnify the image of the captured airborne particle, a flash optical source disposed to illuminate the optical stage with an optical pulse, and a digital camera disposed to capture the magnified image of the captured airborne particle during the optical pulse; a processor including memory and processing means together with controlling and processing software for controlling the optical stage, for storing digital image data produced by the digital camera, for analyzing the digital image data to produce analysis data, and for processing and storing the analysis data; and a transmitter coupled to the processor for transmitting the analysis data to the central processing assembly. 10. The assembly of claim 9 further comprising: an optical stage examination surface disposed within the optical stage to capture the charged airborne particle. 11. The assembly of claim 10 further comprising: charge reversing means coupled to the electrostatic precipitator for inducing in the captured particle an electrostatic charge sufficient to repel the captured particle from the optical stage examination surface. 12. The system of claim 9 further comprising: a neural network disposed to accept the digital image data and to produce the analysis data representing an identification of the captured particle. 13. The system of claim 9 further comprising: a separate telemetric module disposed in communication with the central processing assembly to transmit data representing appropriate warnings of imminent threat to the physical region under surveillance, responsive to the analysis data. 14. A machine-implemented method for capturing and identifying an airborne particle comprising the steps of: (a) accepting a flow of air into a sampling chamber having an optical stage; (b) imposing a first electrical charge on the airborne particle sufficient to facilitate capture of the charged airborne particle in the optical stage; (c) illuminating the optical stage with a brief optical pulse; (d) capturing a microscopic image of the captured particle; (e) generating a digital image data signal representing the microscopic image; (f) generating a digital analysis data signal representing an identification of the captured particle responsive to the application of a plurality of neural network weights to the digital image data signal; and (g) storing the digital analysis data signal in a data store. 15. The method of claim 14 further comprising the steps of: (f.1) generating a first digital image data signal representing the microscopic image of a first particle having a known identification; (f.2) generating a first plurality of neural network weights representing the known relationship between the first digital image data signal and the known identification of the first particle; and (f.3) storing the first plurality of predetermined weights. 16. The method of claim 15 further comprising the steps of: (b.1) imposing a second electrical charge on the airborne particle sufficient to facilitate capture of the charged airborne particle on an examination surface in the optical stage. 17. A computer program product (CPP) for use in a biological hazard surveillance detector assembly processor that includes a programming system supporting the execution of a method for capturing and identifying an airborne particle, the CPP comprising: a recording medium; means recorded on the recording medium for directing the detector assembly processor to accept a flow of air into a sampling chamber having an optical stage; means recorded on the recording medium for directing the detector assembly processor to impose a first electrical charge on the airborne particle sufficient to facilitate capture of the charged airborne particle in the optical stage; means recorded on the recording medium for directing the detector assembly processor to illuminate the optical stage with a brief optical pulse; means recorded on the recording medium for directing the detector assembly processor to capture a microscopic image of the captured particle; means recorded on the recording medium for directing the detector assembly processor to generate a digital image data signal representing the microscopic image; means recorded on the recording medium for directing the detector assembly processor to generate a digital analysis data signal representing an identification of the captured particle responsive to the application of a plurality of neural network weights to the digital image data signal; and means recorded on the recording medium for directing the detector assembly processor to store the digital analysis data signal in a data store.