Traffic congestion in Makassar has occurred over the last 3 years due to the increase of vehicle amount with the lack of adequate road space. To solve the problem, the Intelligent Transportation System (ITS) is needed. One of the research topics in ITS is determining the turnover time of traffic lights based on the number of vehicles in the road. Viola-Jones method can be used to count the number of vehicles by detecting objects. Therefore, this study shows a simulation of the number of vehicles using the Viola-Jones method as an initial step to implement the ITS in Makassar. The data used is a front view car pictures. Simulation results show that the average accuracy rate of the detection is determined by the number of samples. For example, the average of the highest detection accuracy is 92% by using 150 positive samples and 300 negative samples were applied to 30 test samples.

Penelitian ini mengumpulkan data berupa gambar dan video yang berisi objek kendaraan di lalu lintas. Data tersebut kemudian akan diproses menggunakan algoritma pengolahan citra dan dikombinasikan dengan algoritma kecerdasan buatan. Penelitian ini akan difokuskan pada pengolahan citra berbasis algoritma hibrid Interest Point jenis Harris yang dapat mengoptimasi segmentasi citra objek. Proses tersebut dilakukan sebab segmentasi citra objek merupakan faktor utama yang mempengaruhi hasil dari sistem. Pada akhirnya sistem akan dirancang untuk menghasilkan informasi baru sesuai dengan alur sistem yang didasarkan pada kebutuhan, antara lain: pengenalan kendaraan, pengklasifikasian kendaraan, perhitungan jumlah kendaraan, dan pergerakan kendaraan. Kata kunci-pengolahan citra; kecerdasan buatan; interest point; segmentasi citra; deteksi kendaraan.

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The purpose of this research is to produce a smart robot prototype that is able to attract toddlers' attention so that they can respond in the form of motor movements. The making of smart robots will be adjusted to the needs of toddler stimulation in the form of movement interactions approaching or away from objects so that toddlers are triggered to chase or avoid the robot. Educational games that are designed appropriately for toddlers can improve their motor development. This can occur due to stimulating activities from educational games that can stimulate the toddler's brain. Smart robots are one of the educational game technology products that apply the concept of the industrial revolution 4.0. The smart robot prototype design will use the arduino mega microcontroller. The microcontroller input is obtained from a proximity sensor that is implanted in the robot's body. The essence of the smart robot in this study is a dynamic and very flexible robot movement caused by the use of the omni wheel as a driving wheel.