Tejas Dash Camera_Overview
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Tejas Dash Camera

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Teksun Tejas Dash Camera is powered with a Qualcomm 625 (octa-core) ARM Cortex-A53 64-bit CPU, and Adreno 506 64-bit GPU running at a speed of 2.0 GHz. It can work with any Android devices like Tejas Care. Teksun Tejas Dash Camera is compact in design and built-in with powerful features like Driver Heart Rate, Spo2, Monitoring, Drowsiness, and Stress Monitoring. The configuration of 625 Processor makes it more powerful for processing EDGE IoT Applications and Artificial Intelligence algorithms.

Teksun Solution--Teksun ASTRA MX8
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Teksun ASTRA-MX8

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Teksun has designed and developed the ASTRA-MX8 device to support Industry 4.0 applications. ASTRA has an NXP iMX8 quad-core processor running on Linux Debian, making it reliable for smooth operations. Teksun ASTRA-MX8 device has a 10-Point Capacitive 7-inch touch LED Backlight display having Glass Technology. Teksun ASTRA-MX8 has 2 No of RS232 ports, 2 No CAN Channel, HDMI Output with 720P output resolution, and 2 No USB 2.0 ports. It has 2 No Ethernet ports, out of which one port is POE supported, along with a 3.5 MM headphone Jack and Power input via DC Power 9-36V. Additionally, the Teksun ASTRA-MX8 device’s Operating Temperature is -10 C to 60 C, and its storage Temperature is -30 C to 70 C.

Teksun Telep Violence Detection
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Telep Violence Detection

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Teksun Telep Violence Detection detects different physical fights when two or more people fight with or without objects such as guns, sticks, stones, etc. Its primary function is to ensure safety, so if any violent activity is detected, an alert is sent to the admin to take necessary actions. This violence detection module can be integrated into public areas such as airports, schools, offices, banks, parking lots, prisons, shopping malls, and other indoor and outdoor public access areas.It is developed with computer vision, image processing, and cutting-edge technologies to automate visual information processing in terms of security monitoring and detecting violent scenes.

Tejas IPTV box_Overview
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Tejas IPTV Box

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Teksun Tejas IPTV Box users may use the set-top box to stream OTT content and traditional TV channels to their home TV. A voice-activated control is included with the IPTV. It can support a smart Assistant. It includes an Amlogic chipset and has an Android 11 Operating System with resolution through AV1 & H.265 HEVC up to 4k @60fps. Additionally, Teksun Tejas IPTV Solution is built for various B2B applications having on-board edge artificial intelligence support.

Radar Motion Detection_Overview
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Teksun Radar Motion Detection

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Teksun Radar Motion Detection is built-in with ARM® Cortex™-M4 32-bit processor with FPU (floating-point unit) operating at 64 MHz to detect people’s movement from real-time radar response. It will also detect minor movements of people in a specific area. Teksun Radar Motion Detection gives realtime LED indication when people move from the idle state, or any motion is detected. It allows wireless communication over the BLE channel to receive data and integrate it into necessary use cases or applications. Tejas Radar Motion Detection Device has a small form factor of 52X50 mm and an internal sensor size of 35×30 mm, making it compatible with existing embedded devices.

Telep Drowsiness detection_Overview
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Telep Drowsiness Detection

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In Teksun Telep Drowsiness Detection, we have used a facial landmark detection algorithm to detect drowsiness, Eye Blinking, and distraction. Drowsiness can be detected using various facial attributes. The aspect ratio of the facial key points for the eyes and mouth region are used to determine if the eyes or mouth are open or closed. The prediction results are further used to determine the duration and the rate of eye blink and yawning. For a given threshold, yawning is classified, and the count of yawning is increased accordingly with an alert to warn the user.

Ai black box_Overview
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Teksun Tejas Edge AI Box

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Tejas Edge AI BlackBox allows you to gather all data from your local network through Wi-Fi, BLE, Zigbee, LoRA, and other wireless interfaces. And all this data can be processed on the Edge with an octa-core CPU and a dedicated GPU which allows the decision-making process instantly on the Edge with on-board Telep AI Algorithms built into Tejas Edge AI Blackbox Library. Tejas Edge AI BlackBox runs with a Qualcomm 625 high-speed 2GHz octa-core CPU and a dedicated GPU for running AI algorithms on Edge. The device is powered with 2GB DDR3 memory & 256GB onboard storage. It has USB Type-C for charging and data communication purposes.

Radar Heart Rate Detection
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Teksun Radar Heart Rate Monitoring old

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Teksun Tejas Radar Heart Rate Monitoring built-in with ARM® Cortex™-M4 32-bit processor with FPU (floating-point unit) operating at 64 MHz for respiratory and heartbeat detection. It supports Wireless communication over the BLE channel, so any other BLE-based devices can receive data and integrate it into their required use case or application. It allows non-invasive ways to read critical information into difficult environmental conditions like dark or foggy areas. Teksun Tejas Radar Heart Rate sensor can work with existing embedded devices like Tejas Care because of its small form factor of 52X50 mm and inside sensor size of 35x30mm. It works with a 2 to 3-meter range and 100-degree FOV for an ideal environment. Additionally, the device guarantees simultaneous signal output with great accuracy through integrated algorithms.

Telep Car Occupancy Detection_Overview
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Telep Car Occupancy Detection

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Teksun Telep Car Occupancy Detection solution operates as a continuous monitor of the environment in the vehicle. It monitors occupancy in real-time and posts data on the cloud or central command control center via the LTE or Wi-Fi interface. We have built a custom pipeline with a custom dataset that is adaptable to change it to detect whether a parking space is occupied. Additionally, it supports Tejas Radar sensor input to provide more accurate results with fusion algorithms of Radar and Vision. Our developed AI model consists of identification, alignment, feature extraction, and recognition tasks. The best part of this solution is that it is a lightweight ML model, easy to install, scalable for multiple users, and capable of handling large deployments.

Telep Driver Monitoring_Overview
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Telep Driver Monitoring

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Teksun Telep Driver Monitoring uses a fusion algorithm of Radar and Vision, offers accurate drowsiness and distraction detection, notifying the driver to lower the risk of major accidents and ensuring a safer and more comfortable journey. It is a comprehensive solution for in-cabin sensing and driver monitoring (identification, drowsiness, and attention) (occupancy detection, classification, and more). It uses a complex vision and facial landmark detection algorithm that enables reliable driver monitoring on the edge and monitors a driver’s oxygen saturation, heart rate, facial expressions, emotions and Sentiment, stress index, and many more parameters.

Tejas Care Solution Image_Overview
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Tejas Care

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Tejas Care Device is very helpful for Industry 4.0, Corporate Office, Home Automation, Employee Attendance via Fase Identification, Fire & Smoke detection, Stress Monitoring System, Smart Door Access Device, Fall detection of Old age people or children, Safety Gear Detection, etc. It is powered by a Qualcomm 625 high-speed SoC, with a 2GHz octa-core CPU and a dedicated GPU, for running Artificial intelligence algorithms on Edge. It has dual WiFi & LTE capabilities to communicate important alert data to the cloud via the MQTT channel. We have developed a few solutions with Tejas Care that use algorithms that combine radar technology with vision-based machine learning data, providing a non-invasive way to read body behavior, body vitals, body skeleton, occupancy, motion, and much more crucial information in extremely challenging environmental conditions like dark or foggy areas. Tejas Ecosystem works with Oculus Quest 2 for AI Vision and Augmented reality application use cases.

Telep Intrusion Detection_Overview
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Telep Intrusion Detection

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Teksun’s Intrusion Detection System checks the unauthorized entry and generates alerts when detected. The security of private locations, including indoors and outdoors, can be improved by using intrusion detection devices to monitor unauthorized entry in real-time and around the clock. This device is built-in with the object detection model to track humans, and we can extend the same algorithm to detect different animals or other objects.

Occupancy Detection_Overview
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Telep Occupancy Detection

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The Teksun Telep Occupancy Detection solution detects occupancy of any defined area or place, which can be used to build a smart environment and track resource usage. From desks to rooms and open areas to buildings, the Teksun Telep Occupancy Detection solution detects if any space is being used or empty using a person detection algorithm. On top of this, we have a custom pipeline with a custom dataset that is adaptable to change it to detect whether a parking space is occupied.

Telep Face Identification
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Telep Face Identification

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The Teksun Telep Face Identification AI model is an automatic face verification and face identification to recognize the person’s identity. Our developed AI model consists of detection, alignment, feature extraction, and recognition tasks. Herein, the input image is scaled and passed through Convolutional Neural Network (CNN), which will be further compared with the available images from the enrolled users to recognize the person.

Safety Gear Detection overview
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Safety Gear Detection

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Teksun Telep Safety Gear Detection is developed to detect vital Safety Gear such as helmets, vests, and gloves for construction and industrial locations. Our specified solution not only helps to detect whether employees are wearing their safety gear but also alerts an authorized person if any employee has not worn the safety gear or is missing anyone. We have used the SSD Mobilenet object detection algorithm to detect in real-time whether the required safety gear is being worn or not; this, in turn, decreases the chances of anyone getting hurt by any time of accident on-site. Additionally, we have built a custom pipeline along with a custom dataset that is inclusive enough to add other necessary gear such as Goggles and Boots.

T-Card_210
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Tejas 210 T-Card

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The Tejas 210 T-Card features a Qualcomm SC 20 processor with an ARM Cortex-A7 (quad-core) CPU running at 1.1GHz, up to 16GB eMMC, 2GB LPDDR3, and graphics Adreno 304 GPU for Edge computing Al applications. The Android/ Linux operating system is built-in, which aids in the development of sturdy and fast applications. GSM, GPS, WiFi, and BLE are all built-in, as are two HD cameras (2-lane MIPI CSI for the rear camera, up to 8MP, and 1-lane MIPI CSI for the front camera, up to 2MP). Tejas 210 T-Card supports USB (Data Transfer), GNSS (GPS/ GLONASS/ BeiDou), USB to UART debugger. For any IoT or AI-based device, the Tejas 210 T-Card can reduce time to market by 70%.

Tejas MIPI HDMI Module Solution Image
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Tejas MIPI HDMI Module

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Teksun Tejas MIPI HDMI Module with screen interfacing application decodes MIPI® DSI 18bpp RGB666 and 24bpp RGB888 packets and converts the formatted video data stream to a compatible LVDS output operating at pixel clocks of 25MHz to 154MHz, providing a single-link LVDS with four data lanes per link. The bridge has an HDMI data output with an optional S/PDIF or 2-channel I2S serial audio input for TV use. Its high-fidelity 2-channel I2S can send stereo at a sample rate of up to 192kHz. Stereo LPCM audio or compressed audio, such as Dolby® Digital and DTS®, can be carried via the S/PDIF. The Teksun Tejas MIPI HDMI Module is made in an advanced CMOS technology and comes in a 7.5mm x 7.5mm QFN packaging with a 0.4mm pitch.

Fall Detection
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Telep Fall Detection AI Model

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Teksun Telep Fall Detection AI Model runs with Teksun Tejas 625 Evolution Kit, which is powered by Qualcomm 625 (octa-core) ARM Cortex-A53 and 64-bit GPU. Tejas EVK is equipped with 5 Mega Pixel cameras that watch real-time video for fall detection. It monitors the body skeleton without latency to identify fall detection in real-time. When elderly individuals fall within the monitored zone, the Telep Fall Detection AI Algorithm generates an alert and sends the alert along with a real-time video clip using only the camera feed as input through MQTT channel over Tejas SOM Board’s WiFi Interface. Additionally, to overcome the problem, we employed a custom trained skeleton method. We built a custom pipeline to train a skeleton model from the ground up using tiny amounts of data in order to cover all possible scenarios and create an accurate fall detection system.

TEJAS 625 Edge AI Camera Overview
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TEJAS 625 Edge AI Camera

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The only AI-powered LTE camera on the market, the Teksun TEJAS 625 Edge AI Camera runs on a self-sustainable power source of a 9 Watt Solar Panel and 3500 mAh Battery, coupled with dual Wi-Fi & LTE capabilities. It has a Qualcomm 625 high-speed SoC with a 2GHz octa-core CPU, a dedicated GPU for performing AI algorithms on the Edge, 2GB DDR3 memory, and 256GB of onboard storage to run several high-end applications. Teksun Tejas EDGE Artificial Intelligence camera supports various Teksun’s proprietary Telep IPs of hardware-agnostic AI edge algorithms, including Teksun Telep Fire & Smoke Detection, Teksun Telep Fall detection, Teksun Telep Safety Gear Detection, Teksun Telep Intrusion Detection, Teksun Telep Occupancy Detection, Teksun Telep Activity Recognition, Teksun Telep NLP, Teksun Telep body Skeleton based gesture recognition and many more.