{"product_id":"artificial-intelligence-radio-transceiver-air-t","title":"Artificial Intelligence Radio - Transceiver (AIR-T)","description":"\u003cmeta name=\"description\" content=\"Buy Artificial Intelligence Radio - Transceiver (AIR-T) online in India at best price from The Engineer Store, Bengaluru. Authentic product, 7-day warranty on manufacturing defects, fast delivery across India.\"\u003e\n\n\u003ch1\u003eArtificial Intelligence Radio - Transceiver (AIR-T)\u003c\/h1\u003e\n\n\u003cp\u003eThe Artificial Intelligence Radio - Transceiver (AIR-T) is a software-defined radio platform that integrates machine learning capabilities for intelligent spectrum sensing, signal classification, and adaptive communication protocols. Professional RF engineers, researchers, and defense communication specialists utilize this device for cognitive radio applications, spectrum monitoring, and autonomous signal detection in complex electromagnetic environments. This transceiver solves the critical challenge of real-time spectrum awareness and intelligent resource allocation in congested frequency bands by combining GNU Radio compatibility with AI-driven signal processing algorithms.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\u003cp\u003eThe AIR-T represents a breakthrough in software-defined radio technology by embedding artificial intelligence directly into the transceiver architecture. Unlike traditional SDR platforms that require external processing, the AIR-T features an onboard NVIDIA Jetson GPU that executes machine learning inference in real-time, enabling autonomous decision-making for frequency hopping, modulation detection, and interference mitigation. The device operates across a wide frequency range with full-duplex capability, allowing simultaneous transmission and reception with adaptive filtering based on learned signal patterns. Its architecture supports both GNU Radio workflows and custom Python-based AI models, making it versatile for research, prototyping, and production deployment scenarios.\u003c\/p\u003e\n\n\u003cp\u003eThe transceiver leverages deep learning models for signal classification, achieving sub-millisecond latency in identifying modulation schemes, signal sources, and anomalous transmissions. With integrated USRP (Universal Software Radio Peripheral) compatibility and a dual-channel RF front-end, the AIR-T can process multiple signals simultaneously while maintaining phase coherence. The device includes comprehensive development tools, pre-trained neural networks for common signal types, and APIs for seamless integration with existing communication infrastructure. Its ruggedized design and thermal management system ensure reliable operation in demanding field conditions, from laboratory environments to mobile surveillance platforms.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAI-Enabled Software-Defined Radio Transceiver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eDeepwave Digital\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e7 days on manufacturing defects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003e1-5 days from Bengaluru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelivery\u003c\/td\u003e\n\u003ctd\u003e7-8 days across India\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003e24\/7 via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequency Range\u003c\/td\u003e\n\u003ctd\u003e70 MHz to 6 GHz with full-duplex operation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRF Bandwidth\u003c\/td\u003e\n\u003ctd\u003eUp to 40 MHz instantaneous bandwidth per channel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessing Engine\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson AGX Xavier with 8-core ARM CPU and 512-core GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Inference Capability\u003c\/td\u003e\n\u003ctd\u003eReal-time neural network execution at sub-millisecond latency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModulation Support\u003c\/td\u003e\n\u003ctd\u003eAM, FM, BPSK, QPSK, QAM, FSK, and custom waveforms via GNU Radio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, USB 3.0, and SMA RF connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOnboard NVIDIA Jetson GPU for real-time machine learning inference enabling autonomous signal classification and spectrum analysis without external computing resources\u003c\/li\u003e\n\u003cli\u003eFull-duplex transceiver with dual-channel RF front-end supporting simultaneous transmission and reception with adaptive filtering based on learned signal characteristics\u003c\/li\u003e\n\u003cli\u003eGNU Radio compatible with Python API support for seamless integration of custom AI models and signal processing algorithms developed in TensorFlow or PyTorch\u003c\/li\u003e\n\u003cli\u003ePre-trained neural networks for modulation recognition including BPSK, QPSK, QAM, FSK detection with accuracy exceeding 95 percent in realistic SNR conditions\u003c\/li\u003e\n\u003cli\u003eCognitive radio capabilities enabling automatic frequency hopping, power adaptation, and interference avoidance through reinforcement learning algorithms\u003c\/li\u003e\n\u003cli\u003eComprehensive development ecosystem with example applications, documentation, and community support for rapid prototyping and deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSpectrum Monitoring and Enforcement: Government regulatory agencies and telecom operators deploy AIR-T for real-time unauthorized transmission detection, interference identification, and spectrum occupancy mapping across licensed frequency bands\u003c\/li\u003e\n\u003cli\u003eCognitive Radio Networks: Research institutions utilize the platform to develop and test adaptive communication systems that intelligently share spectrum resources by learning from environmental conditions and user behavior patterns\u003c\/li\u003e\n\u003cli\u003eElectronic Warfare and Defense: Military and defense contractors employ AIR-T for signal intelligence collection, threat identification, and autonomous jamming mitigation through AI-driven waveform adaptation\u003c\/li\u003e\n\u003cli\u003eIoT and Smart City Infrastructure: Deployment in urban environments for monitoring multiple wireless protocols simultaneously, detecting anomalous device behavior, and optimizing network resource allocation through machine learning\u003c\/li\u003e\n\u003cli\u003eAcademic Research: Universities leverage the platform for wireless communications research, signal processing education, and development of novel machine learning applications in RF domain\u003c\/li\u003e\n\u003cli\u003eSatellite Communication Ground Stations: Integration with satellite networks for intelligent signal acquisition, automatic modulation classification of satellite downlinks, and adaptive demodulation\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\n\u003cp\u003eBegin by connecting the AIR-T to your host computer via Gigabit Ethernet or USB 3.0 and installing the Deepwave Digital software suite along with GNU Radio dependencies. Power the device using the provided power supply and allow the Jetson GPU to boot, which typically takes 60-90 seconds. Configure your RF front-end parameters including center frequency, gain, and bandwidth through the graphical interface or command-line tools. For machine learning applications, load pre-trained models from the included model zoo or import your custom TensorFlow models through the Python API.\u003c\/p\u003e\n\n\u003cp\u003eTo perform signal classification, establish a connection to your target frequency band and stream IQ samples to the onboard GPU for real-time inference. The device will output signal classifications with confidence scores and metadata including detected modulation scheme, estimated signal parameters, and anomaly flags. For GNU Radio integration, drag-and-drop the AIR-T source and sink blocks into your flowgraph, configure parameters, and execute your signal processing pipeline. Advanced users can develop custom reinforcement learning agents that control transceiver parameters autonomously based on spectrum observations. Ensure proper grounding and RF shielding in your test environment to minimize electromagnetic interference and achieve optimal classification accuracy.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat machine learning frameworks are supported by the AIR-T?\u003c\/summary\u003e\n\u003cp\u003eThe AIR-T supports TensorFlow, PyTorch, and ONNX model formats through the NVIDIA Jetson runtime. Pre-trained models are provided in TensorFlow format, but you can convert models from PyTorch using standard ONNX conversion tools. The device includes optimized inference libraries that leverage the GPU for accelerated computation, achieving sub-millisecond latency for typical signal classification networks with 2-4 convolutional layers.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eCan the AIR-T operate in full-duplex mode simultaneously on different frequency bands?\u003c\/summary\u003e\n\u003cp\u003eYes, the dual-channel RF front-end enables simultaneous transmission on one frequency and reception on another, with complete phase coherence between channels. This capability is essential for cognitive radio applications and in-band relay networks. The 40 MHz instantaneous bandwidth per channel allows independent modulation schemes on transmit and receive paths, controlled through separate GNU Radio blocks or Python API calls.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the maximum data throughput for streaming IQ samples to the GPU?\u003c\/summary\u003e\n\u003cp\u003eThe Gigabit Ethernet interface supports sustained data rates up to 125 MB\/s, accommodating 40 MHz bandwidth complex IQ samples at 16-bit precision with headroom for protocol overhead. USB 3.0 provides similar throughput for laboratory setups. For higher bandwidth requirements, multiple AIR-T units can be synchronized and aggregated through software-defined networking techniques.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eHow accurate is the pre-trained modulation classification model?\u003c\/summary\u003e\n\u003cp\u003eThe included modulation recognition network achieves 95-98 percent accuracy on standard modulation schemes (BPSK, QPSK, 16-QAM, 64-QAM, FSK) when signal-to-noise ratio exceeds 10 dB. Performance degrades gracefully at lower SNR, maintaining 80 percent accuracy at 0 dB SNR. You can fine-tune models on your specific signal characteristics and interference environment using transfer learning with the provided training scripts.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\u003cp\u003eOrders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eWe offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003ch2\u003eWhy Buy from The Engineer Store\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eGenuine Products: Sourced directly from authorized distributors with authentication\u003c\/li\u003e\n\u003cli\u003eExpert Team: Our technical team validates every product before listing\u003c\/li\u003e\n\u003cli\u003eFast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse\u003c\/li\u003e\n\u003cli\u003ePan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata\u003c\/li\u003e\n\u003cli\u003ePayment Options: COD, UPI, credit\/debit cards, net banking, EMI available\u003c\/li\u003e\n\u003cli\u003eTechnical Support: 24\/7 expert guidance via email and WhatsApp\u003c\/li\u003e\n\u003cli\u003eReturns: 7-day return policy on manufacturing defects only\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eBuy Artificial Intelligence Radio - Transceiver (AIR-T) Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the \u003cstrong\u003eArtificial Intelligence Radio - Transceiver (AIR-T)\u003c\/strong\u003e online at \u003ca href=\"https:\/\/theengineerstore.in\"\u003eThe Engineer Store\u003c\/a\u003e, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on \u003cstrong\u003eArtificial Intelligence Radio - Transceiver (AIR-T)\u003c\/strong\u003e with fast shipping and expert support.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":43853800931491,"sku":"TES-EV02949","price":764356.46,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0628\/4479\/7091\/products\/Artificial-228x228.jpg?v=1704192647","url":"https:\/\/www.theengineerstore.in\/products\/artificial-intelligence-radio-transceiver-air-t","provider":"The Engineer Store","version":"1.0","type":"link"}