![]() ![]() Contact method tests the connectivity of circuits but unable to detect major flaws in cosmetic defects. Although many algorithms are available in defect detection, both contact and non-contact methods none is able to detect the defects accurately. Visual inspection is one of highest cost in printed circuit boards (PCB) manufacturing. Additionally, it is possible to change the height from the ground, introducing a damping and a decoupling between the terrain irregularities and the body of the robot servo motors. The use of multiple degrees of freedom at the joints of the legs allows the legged robots to change their movement direction without slippage. ![]() The robot has 3 degrees of freedom in each six legs thus making a 18 DOF robotic movement. The Robot is Self-Stabilizing and can detect corners. It is equipped with a camera to capture real time video and uses a distance sensor that allow the robot to detect obstacles. This paper is an integration of a robotic system and an embedded system of digital image processing, programmed in high level language using Python. This paper involves the development of hexapod robot with digital image processing implemented on Raspberry Pi, to study in the areas of robotic systems with legged locomotion and robotic vision. With these attributes the hexapod robots can be used to explore irregular surfaces, inhospitable places, or places which are difficult for humans to access. Hexapod Robot is the best example for such robots, it is a six-legged robot whose walking movements try to imitate the movements of the insects, it has two sets of three legs alternatively which is used to walk, this will provide stability, flexibility and mobility to travel on irregular surfaces. Nowadays many robotic systems are developed with lot of innovation, seeking to get flexibility and efficiency of biological systems. The edge computing will utilize the on-board processing capabilities wisely and will take decisions on time without any human interventions. Since we have lot of computation power in the IoT boards which were attached to the machines but we are not utilizing it. Thus, it might cause a lot of issues or lose of human life as well when working in some hazardous places like chemical manufacturing or something which involves lots of temperature or explosive based things. Even though these all were done in few seconds still it is not real time and there will be some latency issues in it. The data will be transmitted from the device to a local gateway at some remote place and from there it needs to be sent to a cloud server and there the processing needs to be done and based on the outputs certain decisions has to be made. ![]() That is due to the separation of the data collection and data processing in the current model. In the recent years though the IoT devices and usage is increasing yet the cost of implementation and maintenance in cloud is hefty and still it needs some human interventions at some point to take any critical decisions based on any custom alerts or by monitoring a customized dashboard on 24x7. The hardware platform to implement the project consists of a different sensors and Raspberry Pi 3 Model B equipped in a way to communicate with a centralized gateway through the Hybrid connectivity. The collected sensor data will be processed on board at the device itself and the decision will be taken based on the prewritten algorithms without waiting for any human interventions in the emergency situation without wasting time on human involved analysis for the betterment and improvement of security and safety at the highly hazardous manufacturing plants. The autonomous industrial automation using Edge computing describes the collection and processing of machinery data from the sensors attached to the huge industrial plants without the need of cloud or remote computers involved. ![]()
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