Cooperative learning neural networks and systems

A wireless communication device comprising:

• a first sensor;
• a transceiver configured to transmit first data from the first sensor and receive second data from a second sensor of a second wireless communication device, wherein the second data is received at the transceiver while the transceiver is in communication with the second wireless communication device;
• and
• a cooperative learning neural network, the cooperative learning neural network configured to utilize the first data and the second data to:
• train the cooperative learning neural network, wherein the trained cooperative learning neural network comprises one or more weights associated with one or more crash conditions or one or more objects, wherein, responsive to identifying that the second wireless communication device is within a threshold distance of the wireless communication device, and responsive to the receiving the second data, training the cooperative learning neural network at the wireless communication device using the first data and the second data occurs while the second wireless communication device is within the threshold distance of the wireless communication device, and training the cooperative learning neural network using the first data and the second data does not occur, otherwise;
• and
• detect at least one crash condition or at least one object based on the trained cooperative learning neural network.

A method comprising:

• receiving one or more weights of a cooperative neural network from a first wireless communication device at a second wireless communication device, wherein the one or more weights are trained to be associated with one or more objects;
• capturing sensor data at the second wireless communication device;
• and
• utilizing the one or more weights of the cooperative neural network and the sensor data at the second wireless communication device to implement the cooperative neural network, in the second wireless communication device, for detection of an object within a threshold time, wherein the threshold time is based at least in part on receiving the one or more weights and detecting the object, wherein, responsive to identifying that a third wireless communication device is within a threshold distance of the second wireless communication device, and responsive to the receiving the one or more weights, training the cooperative neural network at the second wireless communication device using the sensor data occurs when the third wireless communication device is within the threshold distance of the second wireless communication device, and training the cooperative learning neural network using the sensor data does not occur, otherwise.