The automatic wildlife identification system utilizes the fusion of sound, image and ecological features for in-depth learning to enhance the wildlife identification capability and break through the identification bottleneck. It is suitable for monitoring birds, mammals, amphibians and some songbirds, investigating their distribution and activity rhythms, and estimating the population density by combining with the relevant model, with a small installation range restriction and a wide range of applications. It is mainly composed of field sound collection device and sound analysis edge equipment. Main Characteristics ● Edge-end sound category determination; ● Support sound identification algorithm customization development; ● Maximum 192K sampling rate, signal-to-noise ratio 105dB; ● IP66 waterproof, field insect-proof; ● Support for wired, 4G backhaul; ● Universal standard video surveillance poles, brackets. Parameters and Indexes

ZR-SST-370
Dimensions (without connections)	100mm*75mm*75mm
Power supply	12V/2A
Operating mode	Sound/result backhaul and copy
4G backhaul component	4G network, supports 3 years of effective backhaul (200G/year), configurable backhaul address, card replaceable
Wired backhaul component	RJ45 interface supported, 1000M, configurable return address
External storage module	Waterproof design, removable storage device can be replaced without disassembly: default configuration 128G SanDisk USB flash drive*2
Software platform	Provide an interface for uploading data and provide data analysis and management functions
Customized model	Supports localized sound orientation training and sound-based wayfinding (4-8 channels)